Agile vs DevOps which is better? Agile, Scrum, and DevOps are some of the buzzwords these days. They are changing the way people look at how and when testing and automation need to be done. In this section, we will discuss the difference between Agile and DevOps and the testing methodology in both. What is Agile Methodology?
Agile literally means “moving quick and easy”. In terms of software development, Agile means delivering small chunks of stand-alone and workable codes that are pushed to production frequently. This means your traditional project plans that spanned over months and sometimes years in now cut short to sprints no longer than 2-3 weeks. All timelines are shrunk to deliver working code at the end of each sprint. Know more: Why Agile testing is so innovative! What is DevOps Methodology?
DevOps is a set of practices that aim to automate the development, testing, and deployment so that code gets deployed to production as small and rapid releases as part of continuous development and continuous deployment (CI/CD). DevOps is a combination of the terms Development and Operations and aims to bridge the gap between the two entities enabling smooth and seamless production code moves. Testing in Agile The traditional STLC holds no good when it comes to Agile. There is no time for all the documentation and the marked-out phases. Everything from plan, design, development, testing, and deployment needs to be winded up in a 2 to 3-week sprint. Here are some pointers that explain how testing is done in Agile projects:
Testing is a continuous process. It happens along with the development. The feedback is shared with the dev team then and there, ensuring a quick turn-around.
Testing is everyone’s responsibility and not only of the testing team. Product quality is the greatest priority.
With shrinking timelines, documentation is a bare minimum.
Automation Testing is used for the N-1 iteration code. That is, in the current iteration, the automation team would be automating the functionalities of the last iteration and running the automation code for N-2 iterations. This will give more time for the manual testing team to work on the thorough testing of the current iteration functionalities
Agile Testing Methods Traditional testing methods are difficult to fit in Agile and are unlikely to give the desired results. The best-suited methods for agile testing are listed below:
Behavior Driven Testing (BDD)
BDD Testing makes life simple for both testers and developers. The test cases and requirements are written in readable English with keywords (Gherkin Given/When/Then syntax). These requirement documents double up as test cases.
Acceptance Test-Driven Testing
This is another way of ensuring the best test results for an Agile process. Think and test as a customer would do. In this case, meetings are held between developers, testers, and other team members to come up with different test scenarios to match the application usage by the end-user. These are given the highest priority for testing.
Exploratory Testing
Another very useful but non-structured testing approach frequently used in the Agile process is exploratory testing. This involves playing around with the application and exploring all areas as per the understanding of the tester. This is done to ensure that there are no failures or app crashes. Testing in DevOps DevOps testing is mostly automated just like most of the other things in DevOps. The moment there is a code check-in, automated code validation is triggered. Once that passes the testing suite or Smoke test is triggered to ensure nothing is broken. If everything goes well, the code is pushed to production.
Most business-critical functionalities are tested through automation or API responses to make sure there are broken functionalities due to the latest code change.
Based on the business requirement, the automation code can be expanded to include more functionalities or limit to a smoke/sanity test.
The testing is triggered with the help of microservices and API responses.
DevOps Testing Methods Here we discuss some tools and techniques in testing that can be very beneficial for the DevOps process. These help to reduce the time-to-market and also improves the overall product and testing efficiency.
Test-Driven Development (TDD)
In a TDD approach, the developers are expected to write unit test cases for every piece of their code covering all the workflows. These tests ensure that the piece of code is working as per the expectation. Apart from TDD the DevOps teams also use the ATDD and BDD approach as discussed above in the Agile section. These are equally helpful in ensuring greater quality and a streamlined approach to continuous development and deployment to production. Read also: Software testing Models: Know about them Core Values of Agile and DevOps (Agile VS DevOps) Let us now discuss the core values of Agile and DevOps that make them different from each other. Agile – Core Values Below are the values that govern any Agile process.
People over Process: In Agile there is more focus on the people, their skills, and how best to put them to use. This means elaborate processes and multiple tools may take a backseat. While the process is important, things as rigid as the traditional waterfall model can not work in Agile
Working code over documentation: Agile lays more importance on a stand-alone working code to be delivered at the end of every sprint. This means that there may not be enough time for all the documentation. In most cases, there will be a minimal document for the agile development processes and more focus is on getting a working code at the end of the sprint.
Customer Feedback over contract: While there are contracts in place on when and how the complete project needs to be delivered, in Agile the team closes work with the customer and is flexible to move around the dates of the planned features within a specific project line. This means if the client needs a certain feature ahead of time and needs some improvements these can be easily prioritized for the next sprint.
Flexible over fixed plan: Agile sprints can be redesigned and re-planed as per the customer’s needs. This means the concept of fixed plans does not fit in Agile. Since the Agile plans are created for sprints that are only about 2-3 weeks long, it is easier to move features from one sprint to another as per the business and customer needs easily.
DevOps – Core Values DevOps is an amalgamation of Development and Operations. Both these teams work together as one to deliver quality code to the market and customers.
Principle of flow: Flow means the actual development process. This part of DevOps normally follows Agile or Lean. The onus is more on quality than quantity. The timelines are not as important as the quality of the products delivered. But this is true only for new features, not the change requests and hot fixes.
Principle of feedback: The feedback and any broken functionalities reported in production need to be immediately fixed with hotfixes. The delivery features are flexible based on the feedback received from the features already in production. This is the most important aspect of the feedback principle.
Principle of continuous learning: The team needs to continuously improvise to streamline the delivery of features and hotfixes. Whatever is developed needs to be automatically tested and then a new build delivered to prod. This is a continuous process.
CI (Continuous Integrations), CD (Continuous Deployment)
Purpose
Agile is very useful to run and manage complex software development projects
DevOps is a concept to help in the end-to-end engineering process.
Focus
Delivery of standalone working code within a sprint of 2-3 weeks
Quality is paramount with time being a high priority in the feedback loop (hotfixes and changes requests)
Main Task
Constant feature development in small packets
Continuous testing and delivery to production
Length of Sprint
typically, 2-4 weeks
It can be shorter than 2 weeks also based on the frequency of code check-ins. The ideal expectation would be code delivery once in a day to once every 4 hours.
Product Deliveries
Frequent, at the end of every sprint
Continuous delivery. Coding, testing, and deployment happen in a cyclic manner
Feedback
Feedback and change requests are received from the client or the end-users
Feedback and errors are received from automated tools like build failure or smoke test failures etc.
Frequency of Feedback
Feedback received from the client at the end of every sprint or iteration
Feedback is continuous
Type of Testing
Manual and Automation
Almost completely automated
Onus of Quality
More than quality, priority is on working code. Ensuring good quality is the collective effort by the team.
Very high-quality code only is deployed once it passes all the automated tests.
Level of Documentation
Light and Minimal
Light and Minimal (sometimes more than Agile though)
Team Skill Set
The team will have a varied skill set based on the development language used and types of testing used
The team will be a mix of development and operations.
Team Size
Agile teams are small so they can work together delivering code faster
Teams are bigger and include many stakeholders
Tools Used
JIRA, Bugzilla, Rally, Kanban Boards, etc.
AWS, Jenkins, TeamCity, Puppet
Agile VS DevOps Infographics for quick understanding
Last Thoughts, Agile VS DevOps which one is better? Both Agile and DevOps are here to stay. While Agile is a methodology or process that focuses on the delivery of small packets of working code to production, DevOps is more like a culture. A culture that advocates continuous delivery of code to production automatically after successful testing. Agile enhances DevOps and its benefits too. Both work hand-in-hand for a better and more quality product.
Risk-based testing also means having an idea about what to test, How to test and in what order to test. Do you agree? Do you think that risk-based testing is the next big thing?
Ans: Yes test has to be executed based on the risk priority. It is important to have risk analysis in each phase of the project in order to identify the dependencies and assumptions, to me Risk Analysis is a big thing and it should start from the requirement phase itself to avoid the late changes in requirements of projects
Testing happens in a chaotic environment. Having a peaceful mind is absolutely necessary to work efficiently. What’s the best way to achieve it?
Ans: It is important to have peace of mind when it comes to working despite any field that you are in. The best way to achieve it is through acceptance. You need to understand that there are some things that are beyond your control. Understand and act accordingly.
As a QA lead what’s that one thing that you find challenging?
Testing software with limited knowledge available about a project or a product is something I find challenging. I will tell you an incident which I personally find challenging as well as proud of. I was once deployed on a project as a replacement. There was no documentation about the previous tests and I had to deal with someone who is reluctant to share information. What I did was, I plotted with whatever meager data that was offered to me in the form of mind mapping. Later I would work on it and would link everything with the screenshots I took from the project. As a result, I was able to create a new document for me and the team. The document explained the ultimate goal of the project easily. Whenever I had doubts popped up in me, I cleared it right away. My mind-mapping technique also helped me to identify the requirement and create a test scenario to automate the scripts, which was also helpful to coach my team about the whole setup. The project was a huge success.
Do you think that testers should prove their value to customers beyond test cases? At the end of the day, it’s all about finding issues that might disrupt the smooth running of the product in the market. Do you agree?
In my experience testers create test cases, test scripts and other test-related documentation with only the short-term view in mind, there is no detailed documentation about the test and testing I always use mind mapping which helps me to identify my requirements and define my test cases and test approach. This helps me think beyond test cases and find issues that are not defined in test cases
Companies are nowadays hiring remote testers in huge numbers? Do you think that it’s healthy to practice?
Advantage : Many people work best in their own space, with peace and quiet. Working remotely allows employees to spend less time and money traveling to the office, which saves a lot of money Also, for the present situation for which the country is facing, this is the best way to work and collaborate with different teams. You can always find the best talent to get the job done, no matter where they’re located. Disadvantage It is hard to build the company culture, communication and Collaboration will be harder but you can always invite them weekly one day to meet the team Or do video conferencing, etc However, disadvantages cannot rule out the fact that a diverse talent pool can only be created using remote testers. Getting stuck with an inefficient team is the worst thing that can happen to any project.
Cypress testing framework can be called a next-generation front end tool for testing built for the modern web.
Testing has become an important factor in software engineering. Writing software for complexities can be a messy task, which gets worse as more people begin working on the same codebase.
This issue is worsened in the frontend development, where several moving parts are present, which makes writing functional and unit tests insufficient to verify the correctness of an application.
End-to-end testing comes to the rescue, as it allows the programmer to replicate the behavior of the user on their app and verify that all the things work as they should. This article will talk about cypress testing framework in detail, including the advantages of Cypress testing, how it is different, and how to install it. What is Cypress Testing?
Cypress can be understood as an end-to-end testing framework based on JavaScript, which comes with various inbuilt features. You will need these features in any automation tool. Cypress utilizes the Mocha testing framework as well as the chai assertion library in the framework.
Cypress, primarily, is not built over selenium and is a new driver which operates within your app and this lets you exercise very good control over the backend and frontend of your app. Cypress enables a programmer to write every type of tests like unit tests, integration tests, and end-to-end tests. It can also test anything which runs in a browser. Advantages of Cypress
There are numerous advantages that Cypress offers, but below are the most fascinating ones.
Debuggability– Cypress provides you the ability to debug your app directly under test from the chrome Dev-tools. This not only offers you straight forward messages of error but also suggest how you should approach those messages.
Real-time reloads– Cypress functions intelligently and it knows that once you save your test tile, you will run it again. This is why Cypress automatically hits the run next to the browser as soon as you save your file. So, you will not require to manually hit the run.
Automatic waiting– Automatically Cypress waits for DOM to load, for the element to become prominent, animation to get finished, AJAX and XHR calls to be completed and a lot more. Hence, you would not require defining explicit and implicit waits.
Cypress is not only a UI testing tool, but it also has a plugin ecosystem where you are able to integrate plugins of Cypress or make your plugin and extend Cypress’s behavior. Apart from functional testing, you can perform unit testing, visual testing, accessibility testing, API testing, etc. on Cypress.
Cypress also offers an amazing dashboard, which gives you insights and a summary of tests executed across the CI/CD tools. This dashboard is similar to other dashboards provided by CI/CD tools that give you execution details and logs of your tests.
Another advantage provided by Cypress if the GUI tool to execute/view your tests view the configuration, and view tests executed from dashboards. You can also watch your tests running as well as get more insights into the test run.
It is free and open-source.
It is fast with less than 20 ms response time.
It helps you find a locator.
It has an active community on Gitter, StackOverflow, and GitHub.
It has the ability to either stub responses or let them hit your server.
How Is Cypress Different?
Works on Network Layer -The tool operates at the network layer by altering and reading web traffic on the fly. This lets Cypress to modify everything coming out of and in the browser as well as to alter code that might interfere with its ability regarding automating the browser. Cypress ultimately exercises control over the complete automation procedure from top to bottom.
Architecture– Numerous testing tools function by running outside of the browser and executing the remote commands over the network. However, testing is completely opposite and is executed in the parallel run loop as your app.
Shortcuts– Cypress saves you from being forced to act like a user always to generate the status of a particular situation. This means you are not required to visit the login page, type in your password and username, and wait for the webpage to redirect or login for each test you run. Through Cypress, you have the ability to take shortcuts as well as programmatically log in.
New Kind of Testing– If you have total control over your app, native access to all the host objects, and network traffic, you can unlock new ways of testing, which was never possible. Rather than being locked out of your app and being unable to control it, by Cypress, you can change any aspect of the way your app works.
How to Install Cypress?
The process of installing Cypress is an easy task. The only thing you require is node.js installed in the machine and then twonpm commands – npm init, npm install cypress –save-dev.
The first command will form a package.json and the second one will install Cypress as the devDependencies array in the package descriptor (package.json) file. It would take almost three minutes to install Cypress based on the speed of your network.
Now, Cypress has been installed to ./node_modules directory. After you have completed the installation part, you will have to open Cypress for the very first time by running this command at the same location where you have the package.json file – ./node_modules/.bin/cypress open
Cypress has its own folder structure, which gets generated automatically when you open it for the very first time at that specific location. It comes with ready-made recipes that depict how to test common scenes in Cypress. Read also: Best test automation tools out there! Click here How do you write a Cypress test?
Writing a Cypress test might require some brushing up for the beginners. So, if you have the app installed on your device, here are the three tests you can do to initiate your hand into Cypress testing.
Writing a Passing Test
Add the following code to any IDE file you would like to run the test on. describe(‘My First Test’, function() { it(‘Does not do much!’, function() { expect(true).to.equal(true) }) })
Save the file and reload it upon the browser.
There will be no significant changes in the application but this is the first passing test that you have performed using Cypress.
Writing a Failing Test
Here is the code for writing your first failing test. describe(‘My First Test’, function() { it(‘Does not do much!’, function() { expect(true).to.equal(false) }) })
Now, save the file and try reloading it. The result will be a failed test because True and False are two different values.
The Test Runner screen will show you the assertions and more activity. The comments, page events, requests, and other essentials will be displayed upon the same screen later.
Writing a Real Test
The three phases you will have to go through to run a successful test in real-time are:
Set up the application state in your device.
Prompt an action.
Assert the resulting application state after the action has been taken.
The application is made to run through the above phases so that you can see where you are going with the project.
Now, let us take a closer look at how you can set up a Cypress testing code in the above three phases and deliver a perfect application. Step 1. Visit the Web Page
Use any application you want to run the test upon. Here, we shall use the Kitchen Sink app. Use cy.visit() command to visit the URL of the website. Use the following code. describe(‘My First Test’, function() { it(‘Visits the Kitchen Sink’, function() { cy.visit(‘https://example.cypress.io’) }) })
Once you save the file and reload, you will be able to see the VISIT action on the Command Log. The app preview pane will show the Kitchen Sink application with a green test.
Had the test failed, you would have received an error. Step 2. Performing Action
Now that we have our URL loaded, we need to give it a task to perform so that we can see changes. describe(‘My First Test’, function() { it(‘finds the content “type”‘, function() { cy.visit(‘https://example.cypress.io’) cy.contains(‘type’) }) })
The above code uses cy.contains() function to find an element (type) in the web page.
Now, if your page has the element, it will show a green sign in the Command Log. Otherwise, your action will fail and go red in about 4 seconds. Step 3. Click and Visit
Since you have highlighted an element on the web page, we should hyperlink it too. Therefore, you can use the .click() command to end the previous one. describe(‘My First Test’, function() { it(‘clicks the link “type”‘, function() { cy.visit(‘https://example.cypress.io’) cy.contains(‘type’).click() }) })
Now, when you save and reload the app, you will be able to click on “type” to visit a new page.
Assertion
Did you know that by using the .should() function you can make your action work only on certain conditions which should be adhered to. If not, the result is a failed command. describe(‘My First Test’, () => { it(‘clicking “type” navigates to a new url’, () => { cy.visit(‘https://example.cypress.io’) cy.contains(‘type’).click() // Should be on a new URL which includes ‘/commands/actions’ cy.url().should(‘include’, ‘/commands/actions’) }) })
Apart from the above functions and commands, there are various you can perform to make your web page more interesting and interactive. You can also become well-versed with the more complex commands by practicing testing with, Cypress. Is Cypress better than selenium? Cypress VS Selenium
Selenium is a popular tool in the source automation tool market which has now transformed into Selenium 2.0. It is an open-source test automation toolkit to allow you to test your application’s functioning.
What makes Selenium different from the rest is that it makes direct calls to the browser using their fundamental automation support. Tests on Selenium work as if you are in complete control of the browser. However, there is a steep learning curve involved.
Coming back to the question, we have prepared a quick breakdown of Cypress and Selenium with what they have to offer.
Cypress
Selenium
Ease of Installation
Easy to install as the divers and dependencies come with the .exe file.
The configuration of the divers and language binding is done separately.
Browsers Supported
Chrome and Electron
Chrome, Safari, Edge, Firefox, or any other.
Open Source
Apart from access to the Dashboard, the tool is open to all.
Open-source application with optional additions that need to be paid for.
Architecture
The test runs within the browser since the test it executed alongside the loop of the application.
Selenium is known to work outside the browser by calling the commands from a remote server.
Target Users
A developer-centric tool to make TDD development work.
QA developers or engineers working as testers.
Compilation Language
JavaScript
Java or Python
Read also: Looking for an alternative to Selenium? Click here
Both the test automation tools have strengths of their own and serve different purposes. Therefore, the decision rests with the developer. Which browser does Cypress support?
Cypress is a multi-platform browser. So, you can use it on Chrome and Electron. Moreover, they have put up a beta version for Firefox on the markets too. Which browser is best for Selenium?
Selenium is more diverse as compared to Cypress when it comes to browser support since it can adapt to the automation of several browsers such as Safari, Chrome, Firefox, Edge and IE. Does Cypress use selenium?
No, Cypress does not use Selenium despite of the popular belief. While most end-to-end testing tools out there are using Selenium, Cypress has an independent architecture. Is Selenium testing easy?
Yes, Selenium testing is easy for individuals who know either Java or Python. Why is Selenium better than tools?
Selenium is considered better than other automated testing tools because it is open-source software with a comparatively easier learning curve. Yes, you can couple it with any programming language you know and integrate any kind of solution you are looking for into it.
Availability, affordability, and flexibility are a few advantages that its counterparts such as QTP cannot offer. What is a Cypress framework?
Cypress is a tool that can automate the tests every time you run your application. However, it is not based on Selenium that calls for the test directly from outside the web browser. However, Cypress works within the DOM of a browser. What language does Cypress use?
Cypress can be a cakewalk for you if you know JavaScript as it uses NPM for JavaScript. Is Selenium a tool or framework?
Selenium is essentially a tool and not a test framework. Test frameworks are used to create libraries of data, run tests, and organize test results. However, Selenium automates testing through web browsers. What is Cypress automation?
Cyprus automation refers to the ability of the user to run the test code along with the application run. Not only is the test executed in the same loop, but it also takes place within the browser too. For the tasks that take place outside of the browser, a Node.js server is leveraged by this tool. Who uses Selenium?
Mostly, it is the QA developers and tester-type engineers who are known to use selenium for facilitating the functioning of organizations from varied sectors such as hospitality, computer software, financial services, information, and technology, etc. The Takeaway
Cypress is a JavaScript-based end-to-end testing framework, which does not use selenium at all. Cypress is built over Mocha that is a feature-rich test framework based on JavaScript. It also utilizes a chain – a BDD/TDD library for the node as well the browser that can be paired with JavaScript testing frameworks.
Selenium, on the other hand, is a more established automation testing tool that makes calls to the browsers to use their automation for conducting the test.
So, Cypress and Selenium are independent tools with different platforms, purposes, and automation. Other than the fact that Cypress is comparatively new and doesn’t support many browsers yet, it is a beneficial testing tool.
A data lake is a collection of raw data in the form of blobs or files. It acts as a single store for all the data in an enterprise that can include raw source data, pictorial representations, charts, processed data, and much more. An advantage with the data lake is that it can contain different forms of data including structure data like a database including rows and columns, semi-structured data in the form of CSV, XML, JSON, etc.
It can also store unstructured data like PDF, emails, and word documents along with images, and videos.
It is a store of all the data and information in an enterprise. The concept of the data lake is catching up fast due to the growing needs of data storage and analysis in all the domains.
Let us learn more data lakes. What is Data Lake?
We need to understand what a data mart First for the answer. Datamart can be considered as a repository of summarized data for easy understanding and analysis.
Pentaho CTO James Dixon was the person who first used the term As per him, a data mart is like packaged and cleaned drinking water that is ready for consumption.
The source of this drinking water is the lake. Hence the term data lake. A storehouse of information from where the data mart can interpret and filter out the data as needed.
What is the importance of the data lake?
it’s a huge storage of raw data. This data can be used in infinite ways to help people in varied positions and roles.
Data is information and power, that can be used to arrive at inferences and help in decision making too. What is data ingestion? Data Ingestion
Data Ingestion; what does it does? So well, it permits the connectors to source the data from various data sources and piles them up into the Lake. What all does Data Ingestion supports?
It supports Structured, Semi-Structured, and Unstructured data. Batch, Real-Time, One-time load, and similar multiple ingestions. Databases, Webservers, Emails, IoT, FTP, and many such data sources. What is Data Governance
Data governance is an important activity in a data lake that supports the management of availability, usability, integrity, and security of the organizational data. Factors that are important in Data Lake Security
Security of data is a must, be it in any kind of data storage, so is true for the data lake. Every layer of the Data Lake should have proper security implemented. Though the main purpose of security is to bar unauthorized users, at the same time it should support various tools that permit you to access data with ease.
Some key features of data lake security are:
Accounting,
Authentication
Data Protection
Authorization
Data Quality:
Data quality is another important activity that helps in ensuring that quality data is extracted for quality processes and insights. Data Discovery
Data Discovery is an activity of identifying connected data assets to make it easy and guide date consumers to discover it Data Auditing
Data Auditing includes two major tasks:
Tracking changes
Capturing who/when and how the data changes.
It helps in evaluating the risks and compliances. Data Lineage
Data linkage works on easing error corrections in data analytics Data Exploration
The beginning of data analysis is data exploration, where the main purpose is to recognize the correct dataset.
What are the maturity stages of a data lake? Data Lake maturity Stages
There are different maturity stages of a data lake and their understanding might differ from person to person, but the basic essence remains the same. Stage 1: in the very first stage the focus is on enhancing the capability of transforming and analyzing data based on business requirements. The businesses find appropriate tools based on their skill set to obtain more data and build analytical applications. Stage 2: in stage two businesses combine the power of their enterprise data warehouse and the data lake. These both are used together. Stage 3: in the third stage the motive is to extract as much data as they can. Both enterprise data warehouses and data lake work in unison and play their respective roles in business analytics. Stage 4: Enterprise capability like Adoption of information lifecycle management capabilities, information governance, and Metadata management is added to the data lake. Only a few businesses reach this stage. Here are some major areas where data lakes are most helpful:
Marketing operations: the data related to consumer buying patterns, consumer purchasing power, product usage, frequency of buying, and more are critical inputs for the marketing operations team. Data lakes help in getting this data within no time.
Product Managers: Managers need data to ensure the product delivery is on track, check the resource allocation and their utilization, their billing, and more. Data lakes help them in getting this data instantaneously and at the same place.
Sales Operations:while marketing teams use the data to design their marketing plans, the sales team uses a similar set of data to understand more about the sales pattern and target the consumers accordingly.
Analysts and data architects: For analyst and architects’ data is there bread and butter, they need data in all forms. They analyze and interpret data from multiple sources in several ways to derive inferences for management and leadership teams.
Product Support:Every product once it is rolled out to the consumers will undergo several changes as per the usage patterns. These are taken care of by the product support teams. The long-term data of the enhancements requested and the features most used, the team may decide to roll out more similar or additional features.
Customer Support:The teams handling customer support divisions may come across several issues and resolutions day-in and day-out. These issues may get repeated over the months, years and even decades. A consolidated data of these issues and resolutions are very helpful to the executives when they reoccur.
Also Read: All you need to know about Big Data Testing is here! Advantage of a data lake
In this section let us list out some of the obvious reasons and advantages of having a single repository of data that we call a data lake.
One of the biggest advantages of a data lake is that it can derive reports and data by processing innumerable raw data types.
It can be used to save both structured and unstructured data like excel sheets and emails. And both these data points can be used for deriving the analysis.
It is a store of raw data that can be manipulated multiple times in multiple ways as per the needs of the user.
There are several different ways in which one can derive the needed information. There can hundreds and thousands of different queries that can be used to retrieve the information needed by the user.
Low cost is another advantage of most of the new technologies that are coming up. They aim to maximize efficiency and reduce costs. This is true for data lakes as well. They provide a low cost, single point storage solution for a company’s data needs.
All data in a data lake is stored in its raw format and is never deleted. A data lake can typically scale several terabytes of data in the original form. What’s the architecture of a Data lake?
The above image is a pictorial representation of the architecture of the data lake. ingestion tier – Contains data source. Data is fed to the data lake in batches and that too in real-time Insights tier – Located on the right side, is the insights of the system. HDFS – Spcialy built a cost-effective system for structured and unstructured data. Distillation – Data will be retrieved from storage and will be converted to structured data Processing – User queries will be run through analytical algorithms to generate structured data Unified operations – system management, data management, monitoring, workflow management, etc.
Differences between data lake, database, and data warehouse
In the simplest form data lake contains structured and unstructured data while both database and data warehouse except pre-processed data only. Here are some differences between all of them.
Type of Data: As mentioned above, both the database and the data warehouse need the data to be in some structured format to save. A data lake, on the other hand, can contain and interpret all types of data including structured, semi-structured and even unstructured.
Pre-processing:the data in a data warehouse needs to be pre-processed using schema-on-write for the data to be useful for storage and analysis. Similarly, in a database also indexing needs to be done. In the case of a data lake, however, no such pre-processing is needed. It takes data in the raw form and stores for use at a later stage. It is more like post-processing, where the processing happens when the data is requested by the user.
Storage Cost: The cost of storage for a database would vary based on the volume of data. A database can be used for small and large amounts of data inputs and accordingly the cost would change. But for when it comes to a data warehouse and data lakes, we are talking about bulk data. In this case, with new technologies like big data and Hadoop coming into picture data lakes do come forth as a cheaper storage option as compared to a data warehouse.
Data Security: Data warehouse has been there for quite some time now. Any security leaks are already plugged. But that is not the case with new technologies like data lakes and big data. They are still prone breaches, but they will eventually stabilize to a strong and secure data storage option soon.
Usage: A database can be used by everyone. A simple data stored in your excel sheet can also be considered as a database. It has universal acceptance. A data warehouse, on the other hand, is used mostly by big business establishments with a huge amount of data to be stored. While data lakes are most used for scientific data analysis and interpretation.
Data Lake
Data Warehouse
Stores everything
Stores only business-related data
Lesser control
Better control
Can be structured, unstructured and semi-structured
In tabular form and structure
Can be a data source to EDW
Compliments EDW
Can be used in analytics for the betterment of business
Mainly used for data retrieval
Used by scientists
Used by business professionals
Low-cost storage
expensive
Data Lake Implementation
Data Lake is a heterogeneous collection of data from various sources. There are two parts to any successful implementation of a data lake.
The first part is the source of data. Since the lakes take all forms of data, the source need not have any restriction. This can be the company’s production data to be monitored, emails, reports, and more.
Landing Zone: This is the place where the data first enters the data lake. This is mainly the unstructured and unfiltered data. A certain amount of filtering and tagging happens here. For example, if there are some values that are abnormally high when compared to others, these may be tagged as error-prone and discarded.
Staging Zone: There can be two inputs to the staging zone. One is the filtered data from the landing zone and the second is direct from a source that does not need any filtering. Reviews and comments from the end-users are one example of this type of data.
Analytics Sandbox: this is the place where the analysis is done using algorithms, formulae, etc. to bring up charts, relative numbers, and probability analysis as and when needed by the organization.
Another zone that can be added to this implementation is the data warehouse or a curated data source. This will contain a set of structured data ready for analysis and derivations.
Best practices for Data Lake Implementation:
Availability should form the basis of the Designing of Data Lake instead of what is required.
The native data type should be supported by Architectural components, their interaction, and identified products.
It should support customized management
Do not define schema and data requirement until queried for disposable components integrated with service API forms the base for designing.
Attune Data Lake architecture to the specific industry. Ensure that the necessary capabilities are already a part of the design. New data should be quickly on-boarding
It should also support present enterprise data management techniques and methods
Independently manage Data ingestion, discovery, administration, transformation, storage, quality, and visualization
What are the Challenges of building a Data Lake: Some of the common challenges of Data Lake are:
Data volume is higher in the data lake, so the process has to be dependent on programmatic administration
Sparse, incomplete, volatile data is difficult to deal with.
Wider scope of the dataset
Larger data governance & support for the source
Risk of Using Data Lake:
Some of the risks of Data Lake are:
A risk involving designing of Data Lake
Data Lake might lose its relevance and momentum after some time.
Higher storage & compute costs
Security and access control.
Unstructured Data may lead to unprecedented Chaos, data wastage, Disparate & Complex Tools, Enterprise-Wide Collaboration,
No insights from others who have worked with the data
Example for Data Lake
Think about this scenario where unstructured data that you have can be used for endless purposes and insights. However, possession of data late doesn’t implicate that you can load all the unwanted data. You don’t need data swamp right? The collected data must have a log called a catalog. Having data catalogs makes the data lake much more effective.
Examples of Data Lake based system include,
Business intelligence software built by Sisense that can be used for data-driven decision making
Depop , a peer to peer social shopping app used Data lake in Amazon s3 to ease up their processes
A market intelligence agency Similarweb used data lake to understand how customers are interacting with the website
and many more.
Also Read: Wish to know about data-driven testing? What is Snowflake?
Snowflake is a combination of a data warehouse and a data lake, taking in the benefits of both.
It is a cloud-based data warehouse that can be used as a service. It can be used as a data lake to give your organization unlimited storage of multiple relational data types in a single system at very reasonable rates.
This is like a modern data lake with advanced features. Being a cloud-based service, the use of snowflakes is catching up fast. Data Lake solution from AWS
Amazon is one of the leading cloud service providers globally. With the advent and extensive use of the data lakes, they have also come up with their own data lake solution that will automatically configure the core AWS services that will help to simplify tagging, searching and implementing algorithms.
This solution includes a simple user console from where one can easily pull the data and analysis that one needs with ease.
Below is a pictorial representation of the data lake solution from Amazon.
Some of the main components of this solution include the data lake console and CLI, AWS Lambda, Amazon S3, AWS Glue, Amazon DynamoDB, Amazon CloudWatch, Amazon Athena among others. Amazon S3
Amazon’s simple storage service or Amazon S3 is a web-based object storage service launched by Amazon in March 2006.
It enables organizations of all sizes to store and protect their data at a low cost. As shown in the diagram above, it is a part of the data lake solution provided.
It is designed to provide 99.999999999% durability and is being used by companies across the globe to store their data.
With the growing needs to data and the requirement to make it centrally available for storage and analysis, data lakes fit the bill for most companies.
Newer technologies like Hadoop and big data facilitate the storage and assimilation of huge amounts of data centrally.
There are still some challenges with respect to data lakes and they are likely to be overcome soon, making data lakes the one-stop solution for the data needs of every organization.
Protractor vs selenium who will win? Both the test automation tools are equally good. However, one has some features that make it supreme to the other.
Test Automation is the need of the hour and is widely adopted by the testing teams across the globe; to assist testers in automation testing several testing tools are now available in the markets.
To achieve the best testing results, it is very important to choose the most appropriate testing tool according to your requirements.
Sometimes, testers sometimes get stuck between two automation testing tools.
And if you are the one, who is having a difficult time picking the aptest testing tool out of Selenium vs Protractor, then go ahead and read this article to find out a solution. Selenium
Selenium is used for automation testing of web applications and is an open-source testing tool.
Selenium is meant only for web-based applications and can be used across various browsers and platforms.
Selenium is an all-inclusive suite that is licensed under Apache License 2.0. It constitutes of four different tools under it:
Selenium Integrated Development Environment (IDE)
WebDriver
Selenium Remote Control (RC)
Selenium Grid
Selenium IDE
The simplest among all the four tools under Selenium is Selenium IDE. Selenium IDE is used to record the sequence of the workflow.
This Firefox plugin is easy to install and is also companionable with other plugins.
It has some of the most basic features and is largely used for prototyping purposes. It is very easy to learn and use. Selenium RC
Selenium Remote Control (RC) allows the testers to choose their preferred programming language.
It’s API is quite matured and supports extra features to assists tasks beyond even browser-based tasks.
Selenium supports Java, C#, PHP, Python, Ruby, and PERL and can perform even difficult level testing. Selenium WebDriver
Selenium WebDriver is an advanced version of Selenium RC. It provides a modern and steady way to test web applications.
Selenium directly interacts with the browser and retrieves the results.
An added benefit of WebDriver is that it does not require JavaScript for Automation. It also supports Java, C#, PHP, Python, Ruby, and PERL. Selenium Grid
The main benefit of automation tools is faster execution and time-saving. In Selenium, Selenium Grid is responsible for the same.
It is specially curated for parallel execution of tests, on various browsers and environments; it is based on the concept of hub and nodes.
The main advantage of using this is time saving and faster execution. What Protractor is all about?
Protractor is a powerful testing tool for testing AngularJS applications.
Though it is specially designed for AngularJS applications, it works equally well for other applications as well.
It works as a Solution integrator by assimilating the dominant technologies like Jasmine, Cucumber, Selenium, NodeJS, Web driver, etc.
Protractor also has a high capability to write automated regressions tests for web applications. Its development was started by Google but was later turned into an open-source framework.
Why do we need Protractor? Here are a few reasons to convince you to use Protractor:
Generally, most of the angular JS applications have HTML elements like ng-model and ng-controller, Selenium could not trace these elements, whereas Protractor can easily trace and control such web application attributes.
Protractor can perform multiple browser testing on various browsers like Chrome, Firefox, Safari, IE11, Edge. It assists in quick and easy testing on various browsers.
Protractor is suitable for both Angular and Non-Angular web applications.
Because of the parallel execution feature, it allows executing test cases in multiple instances of the browser simultaneously.
It permits the installation of various packages as and when needed. In simple words working with packages is easier in Protractor.
Working with multiple assertion libraries is possible with Protractor.
Protractor supports various cloud testing platforms like SauceLabs and CrossBrowserTesting, etc.
It assists in faster testing.
Runs on both real browsers and headless browsers.
What is Selenium Protractor?
If the app you are developing is on AngularJSit’s always a better option to use Protractor since
it’s meant for AngularJS apps
We can create customization from Selenium in creating Angular JS apps
Protractor can run on top of selenium giving all the advantages of Selenium
You can use API exposed by Webdriver and Angular
Uses the same web driver as that of Selenium
What is the best IDE for protractor?
Visual Studio
CodeSublime
TextAtom Editor
Brackets
Eclipse
EclipseVisual Studio
ProfessionalWebstorm
Difference between Protractor vs Selenium
Here are the basic points of differences between Selenium and Protractor:
Comparison Basis
Selenium
Protractor
Supported Front End Technology-Based Web Application
Supports all front end technology
Specially designed for Angular and AngularJS applications, but can be used for Non-angular applications also.
Supported Languages
C#, Java, Haskell, Perl. PHP, JavaScript, Objective-C, Ruby, Python, R
JavaScript and TypeScript.
Supported Browsers
Chrome, Firefox, Internet Explorer ( IE), Microsoft Edge, Opera, Safari, HtmlUnitDriver
Chrome, Firefox, Internet Explorer ( IE), Microsoft Edge, Safari
Synchronization or Waiting
Does not support automatic synchronization between tests and application. It needs to be explicitly synchronized using different waits.
Supports Automatic wait for Angular applications, but they are not applicable for Non-angular applications. But you can explicitly synchronize waits in Protractor.
Supported Locators Strategies
Supports common locator strategies like Id, className, name, linkText, tagName, partial link text, XPath and CSS for all web applications
Supports common locator strategies like Id, className, name, linkText, tagName, partial link text, XPath and CSS for all web applications plus it also supports angular specific locator strategies such as model, repeater, binding, buttonText, option, etc. also permits the creation of custom locators.
Supported Test Frameworks
Based on language binding, it supports various Test Frameworks C#- NUnit,
Java- JUnit, TestNG
Python- PyUnit, PyTest
JavaScript- WebDriverJS, WebDriverIO
Protractor aids Jasmine and Mocha. The protractor is provided with Jasmine as a default framework.
Requires third-party tools like WebdriverManager to sync browser version and driver.
Requires web driver-manager CLI to automatic sync between browser version and driver for Chrome and Firefox.
Parallel Testing
Requires third-party tools like TestNG.
Supports parallel testing.
Cost
Open-source
Open-source
Nature of Execution
Synchronous
Asynchronous
Needed Technical Skills
Average
Moderate
Support
No official support operates on open community model
No official support operates on open community model
Ease to automate Angular Applications
Not easy, a lot of sync issues and difficult to find real wait conditions.
It is made for angular applications hence it is easy to automate Angular Applications
Test Execution Speed
Slower
Faster
Ease of Scripting
Requires more lines of code and hence scripting is difficult.
Even more difficult than Selenium.
Support for Mobile Application
No direct support
Direct support
CI/CD integration
Yes
Yes
Docker Support
Yes
Yes
Debugging
Easy
Difficult
Test Script Stability
Less stable scripts
More stable scripts
Is protractor better than selenium?
Both Selenium and protractor are automated test tools for web applications.
Both are used to automate Angular Applications. As Protractor is specially designed for angular applications, so if you are testing angular applications, it is better to opt for a protractor.
By now you would have been pretty clear about the differences in both. and it would now be easier for you to choose the better tool for your requirements and the winner in Protractor vs selenium will change according to it.
Study your requirements clearly and pick the aptest tool for more efficient testing results.
All applications run on codes in different languages be it Java, .Net, Python, or any other. Most of these codes are written by developers. This also means it is prone to errors. These errors are called Software Bugs. Any deviation from the expected behavior of the application in terms of the functionality, the calculated results, the navigations, or the overall look and feel can be considered as a defect or bug in that application or software.
Bug-free software is every developer’s dream, and it is possible to make this dream a reality only through thorough testing. Different types of techniques are employed to find the maximum number of bugs before the application or product reaches the customers. What is a software bug?
A software bug can be named as the error or an anomaly in a system that’s causing unusual behavior and invalid output in a system. Errors like these are mostly human-made and can gravely affect the functionality of the software.
What’s bug fixing?
Anomalies that are preventing the software to work as per the SRS document can be fixed through the process called bug fixing. There will be a software testing team to thoroughly examine the software and report the bugs found to developers so that they can fix them. What are the most common challenges faced in debugging
Debuggers stop working or there is some issue with it and you are not noticing it
Logical errors are hard to correct
unsorted data
deep log creation issues
Grammatical errors
inability to do debugging in realtime
losing progress in between
What are the different types of software bugs?
There are several different types of bugs that are found in the application. These can be
Functional Errors
Any issues with the functionality of the application are treated as a functional error. E.g. when you enter some data in the application and hit the “Save” button, your data should be saved to the application database. It should be retrievable at a later stage as well. If the system does not save the data or throws an error while saving, it can be considered a functional defect.
Logical Errors
A logical error is mainly attributed to the code logic. The logic that was written by the developer may not function as expected leading to incorrect output. A classic example of this would be division by 0 or assigning the value to a wrong variable, or any other such mistake at the coding level. These logical errors can be easily avoided by doing peer reviews and code walk-throughs with the team.
Calculation Errors
As the name suggests, these bugs arise for the calculation or formulae mistakes at the time of coding. It can also be caused by passing the wrong parameter to the functions. Some other common reasons for a calculation error include choosing the wrong algorithm, mismatch in datatype, incorrect data values flowing from another system, or even hardcoding some values in the code.
Validation Message Errors
Errors caused by incorrect or missing validation messages are referred to as validation message errors. For example, when entering the wrong data or format, like in a number field (age) you enter characters like name, it should show an appropriate error message. Likewise, whenever you want to save some data, a save confirmation or save failure message should be displayed. In all such cases, both positive and negative message pop-ups or message banners are checked. If they are not displayed, then it is considered an error.
Cosmetic Errors
Cosmetic errors are those that do not impact the application or its functionality directly. They are also minor issues that are fixed and implemented with the least priority. Some examples of cosmetic errors are spelling mistakes, alignment issues, color variations, and more.
Work Flow Errors
Workflow errors are also called navigation errors. As the name suggests, they refer to navigation issues when traveling back and forth through the application. The page to be displayed when the “Next” button is clicked or when the “Back” button is clicked, should be as expected. Any mismatch in the expected and actual page is considered a workflow error.
Integration Errors
Integration error refers to errors arising out of data mismatch or others during the interaction between multiple systems and modules. These errors can be identified only during integration testing. In most cases, these integration errors are caused by how the data from one module is consumed by the other module, or sometimes the data may get altered in the system flow, or there could be a data-type mismatch, etc.
Memory Leaks
Another common error usually found during rigorous and continuous testing is related to memory leaks. In such cases, the application performance starts deteriorating drastically after a certain period. This is generally due to the continuous use of memory without releasing them after use. Memory leaks are very difficult to find or fix and the only way is to ensure proper coding standards and best practices are followed at the time of coding.
App Crashes
App Crash is a very priority issue that needs to be resolved at the earliest. It is clear from the name that in such cases the app abruptly closes and all the data is lost. This can be very annoying for the end customers. The crash can be due to several reasons including API call failure, page time out, upstream or downstream system down, or others.
Security Errors
In the internet world today, security is of utmost importance. Security bugs are very critical. They can be related to the safety of the user data, masking of user data and preferences, financial or health data, security based on privileges ( like admin pages being accessible only to app admins), and more. These issues if found in production can be detrimental to the application itself as the customers would lose trust in the system. What’s the difference between Bug Priority and Severity
The most common and also the most controversial terms concerning the software bugs are its severity and priority. They are invariably the discussion point between a developer and a tester. Let us try to understand these terms better.
The severity of a bug is the impact that the bug has on the business from a testing point of view.
The priority of the bug on the other hand is fixed by the developers, based on how soon they want to fix the issue and merge with production code.
Sno
Severity
Priority
1
It measures the impact of the bug on the business or application
It defines the urgency with which the development team plan to fix the bug
2
Severity is generally of 4 types:
1. Sev1 – Critical bugs or blockers that do allow the application to be used
2. Sev2 – These are major issues that hamper the functionality of the application.
3. Sev3 – These are minor issues that do not impact the frequently used features in the application
4. Sev4 – These are the least important defects that are cosmetic and do not impact the functionality of the application. Like color, alignment, etc.
Priority is generally of 4 types:
1. High/Urgent – Need to be fixed immediately.
2. Medium – Can be fixed within the next 1-2 cycles.
3. Low – Very less priority bug. They may or may not be fixed soon based on the team bandwidth
4. Deferred – These bugs are the least priority and are moved to different release at a much later date
3
Decided by a tester
Decided by a developer
4
It is related to the quality of the product
It is related to the priority and timeline of the project
5
It always remains the same
It can change based on business and the available developer bandwidth
Explaining Bug Life Cycle
Another important term associated with a software bug is the lifecycle. A bug life cycle refers to the different stages a software bug goes through.
The different stages of a bug are:
New
When a defect or bug is raised by a tester it will be in a new status. Once the developers check, verify, and accept the defect only then it will be moved to the next stage.
Open/Assigned
Once the developers accept the defect it is moved to the assigned state and is also assigned to a developer for fixing.
Duplicate
Sometimes a defect raised by the tester would have been raised by someone else previously or a fix for one defect would be applicable for this defect as well, in such cases the developer will mark this new defect as the duplicate of the old one.
Rejected
Some defects may not be accepted by the developers for various reasons like it may be the expected behavior, it may have already been fixed, or any other reason. These defects are marked as rejected and are not included in any defect metrics.
Deferred
Some defects may be considered as low priority or they may be fixed with the next module release. These defects are deferred to the next cycle or release
Fixed
Once the defect is fixed by the developer in the development environment, it is marked as fixed. The code fix for the defect gets moved to the test environment in the next cycle.
Ready to Test
Once the code fix for the defect is available in the test environment, it is marked as ready to test. Once a new build is available for testing, a tester would ideally filter out the ready to test defects, and do a retest.
Re-opened
When a tester retest a defect, if the defect is not fixed as expected or if it is only partially fixed, the tester would mark it as re-opened with suitable comments on what needs to be further fixed.
Verified and closed
During the defect retesting, if the defect is completely fixed, the tester would mark it as verified and closed. This would be the end of the defect cycle for that particular defect.
Why Does Software Have Bugs?
Coding errors
Programming errors are the most reasonable reason for the bugs in the software. Codes are developed by humans. And as humans, coders are supposed to make mistakes.
There are many bugs that are introduced due to programming errors that might be because of wrong coding of the functionality, syntax errors, etc.
They could even be minor or we can say very clumsy errors that may result in big software flaws. Programming errors can be easily found, but sometimes these tiny errors can be very irritating and time-consuming. 2. Miscommunication
Miscommunication is indeed the reason behind many flaws and misunderstandings in our day-to-day lives. They play no fewer roles in software engineering.
Miscommunication is one of the main reasons behind software defects.
Many a time clients themselves are not clear on their ideas and sometimes even if they are clear of their idea, they are not able to deliver it to the software development and testing team.
This gap in the understanding between the client and the software team is the reason behind many software defects. Read also: Major bug tracking tools of 2020
Compex and huge software
Software complexity is another major reason that results in software defects.
It gets even more difficult for developers and testers to have less knowledge of modern software development methods.
The latest software methods can reduce these complexities to a great level, but if the developers are not known to these methods, the software complexities may result in errors.
Quick deadlines
Deadlines are one of the major reasons for software bugs. Usually, the deadlines in the software industry are comparatively very short.
In order to meet the deadlines, both developers and testers are in a rush to complete the work.
And in this hurry, developers might introduce many programming bugs in the code and the testers might miss out on testing the code properly.
When both developers and testers are responsible for introducing the errors, the code is expected to have a lot many bugs and there are high chances that a buggy code is released to the market.
Software development is not an easy task and this should be properly understood by the clients so that they can give enough amount of time to both developers and testers so that they can receive bug-free software hence saving a lot of time for maintaining and rectifying a buggy software at late hours.
Frequent changes in requirement
In this dynamic world, everything keeps changing and so does the software requirements.
The constant change in requirements can add problems for the developers and the testers.
Changing requirements are one of the major reasons for software defects.
The frequent requirement changes may confuse and irritate both the developers and testers, hence increasing the chances of faults. 6. Third-party integration
Often development process requires the integration of third-party modules that have been developed entirely different teams. As a stand-alone software, these modules might work fine. However, after integration, their behavior can change and affect the software it has integrated with. 7. automation scripts that have no use
The software industry is very dynamic and every time there is something new that is coming in the market.
The old strategies, codes, scripts soon become obsolete. There are so many obsolete automation scripts that are replaced by more advanced automation scripts.
These obsolete automation scripts if used in the code can mismatch with the new coding techniques and can result in the bugs.
There are many developers and testers who do not keep themselves update with the recent software market techniques and end up using these old automation scripts leading to the introduction of the bugs.
Poor documentation
Poorly documented code is another reason for software bugs. It is very difficult to maintain and modify such codes. It sometimes leads to losing the flow of the code that results in many errors.
It sometimes even gets harder for the developers to understand their code. In such cases, a requirement change can become even more difficult, leading to more errors.
Such code is given to other coders to rectify or modify, it is very difficult increasing the possibilities of further errors. Though there are no rules for proper documentation of code, it is just considered a good coding practice.
Software development tools
Visual tools, class libraries, compilers, scripting tools, etc. such development tools can introduce bugs in the software.
Also, it is found that these tools are poorly documents which further adds up to the bugs as we have already discussed above.
No doubt software development tools have made coding comparatively very easy.
Coders are not required to code everything from scratch, readymade scripts, libraries, etc can be easily called in the code, refusing your efforts many forth.
But while they add up to the advantages by providing ready to use stuff, they too add up to the bugs and contribute to poorly documented code.
Cost of fixing bugs
“In 2017, software failures cost the economy US$1.7 trillion in financial losses.”
Software bugs can result in heavy losses and hence as they say “Prevention is better than cure”, it is always better to get these bugs fixed at the early stages of software development lifecycles.
The cost of fixing these bugs grows exponentially with each phase of SDLC. The bugs are easy to detect and rectify at unit testing when the code is still with the developer.
The efforts, time and cost of fixing these bugs keep increasing as the software grows in the lifecycle.
At the development level, it is quite easy to detect and rectify the bugs, as the developer has recently developed the code and it is fresh in his mind.
The most trivial defects can be detected and corrected at this phase, leading to the least software bug fixing cost apprehension.
At the testing phase the complexities of detecting the bugs increases.
Though it is easy to detect functional and other major defects it is another time-consuming task to detect the bug and pass it on to the developer’s team to rectify it.
Also, it is difficult to uncover the more fundamental defects like memory leaks at this stage. Hence the cost of bug fixing increases at this level.
After the release, it is not only very costly to fix the bugs, but is also very risky to release buggy software to end customers. Calling back the software from the market, it is not only a hit to finances but can be very damaging to your reputation also.
Conclusion
The software industry is very dynamic, and it every now and then keeps getting upgraded to a better version of itself to make it more efficient and effective, but bugs are one thing that has always been a part of software codes.
These bugs can sometimes be very easy to locate and rectify but sometimes even the silliest bug can irritate a veteran coder. Read also: Epic software failures of all time
Hence it both developers and testers should follow software development and testing best practices so that these bugs could be minimized, hence reducing late hours’ efforts to the minimal.
If coding and testing are done with maximum care from the very beginning, we can reduce the number of bugs to a great extent.
1) Cybersecurity testing is intensifying. How can a software testing company leverage this situation?
As we are moving to a world that’s shrinking due to the Internet as more and more number of people are digitally connected than ever. The conventional way of paying utility and other bills have been taken over by digital payment where the user can pay his or her bills at his ease. This has made our life easy, but with such conveniences, there are challenges such as hacking, phishing, etc. where the users’ vital information is stolen for many malpractices. This is where the Cybersecurity companies have a vast opportunity of testing the applications and systems for Cyber Security.
2) cross-functional collaboration has become a necessity. Those who are not part of it is in peril. Do you agree? Is it hard to find testers who can keep up with DevOps?
Cross-functional collaboration becomes really important reason being the importance of various departments required to work in unison for a product to be market-ready in minimum TAT (Turn Around Time) Let us take an example from Software Testing where the maximum effort is to make sure that the best quality product is released in the market, to achieve this the Software Testers have to work in Unison with the dev, Deployment. Once the QA team has prepared the TestCases they need to share it with Dev team so that Dev team can be sure that the product they are building is correct (Are we building the Product right ?: Verification) The world is eventually moving to the DevOps and its just some years down the line that there will be very little to No Automation testers and everything will be taken care of by DevOps. Automation Testing will become a subset of DevOps. Yes, it’s hard now to find testers who can keep up with the DevOps, But for sure top pyramid of Automation testers will be there into Devops and in coming future, there will for sure more DevOps personnel available.
3) Every organization has high hopes for automated QA but fails to do achieve so? what would be the reason?
We need to first understand where Automation Testing comes into the picture. Automation Testing is done on an application that is stable and is done to make regression testing easier. Why it is not done just after the first screen is ready is because there might be many changes that might come in the future and thus creating scripts on changing windows will make a lot of effort for the maintenance of scripts. Also, we need to understand that everything cannot be automated and we have to gauge which Test Cases can be automated. If an organization wants to have its regular daily activities to be automated then Robotic Process Automation (RPA) is way forward. Due to RPA, many organizations have been able to automate their day to day activities and thus were able to save costs incurred otherwise. Also due to RPA, there had been an improvement in the quality of work delivered.
4) What’s the most effective test data management strategy?
The best way according to me is
By creating our own set of Test Data.
Taking a replica of the production Test Data by querying the production DB.
Go for comprehensive test data for non-functional testing
5) Websites that do not have super-fast loading speed, supreme accessibility and efficient interface are discarded by the public. owing to the same, do you this is the golden era of usability testing? if it is, what’s the best and effective way to perform the process?
Usability testing has helped business like anything. A recent survey by IBM has revealed that if your invest a dollar in usability testing your will get in 10 or 100 folds in return. Effective methods to do usability testing
Payment Gateway testing ensures an intermediate path between transaction channels such as net banking, debit, credit cards, and merchant acquired banks are working as they are supposed to be guaranteeing utmost security.
Payment gateway passes the information of the transaction channel to the merchant bank and then check the response received from the respective bank.
There are so many payment gateways available these days. Some of them are PayPal, Braintree and Citrus Payments.
Let’s first check out the flow of any transaction which happens on e-commerce and then we will dig into details of testing the payment gateway flow.
What is Payment Gateway Testing
Payment gateway integration is a must for any business. It has to be highly secure, highly functional and must offer high UX. To check all this you need payment gateway testing.
Payment Gateway transaction flow
The transaction starts with the customer who places an order for a product on an e-commerce website.
After confirming for a product, the customer is being redirected to some website where the customer is asked to enter payment details.
On this page, the customer clicks on the pay now button and then the payment gateway sends this entered information to the acquiring bank.
This information is sent in the form of encryption data and then the acquiring bank sends the data to the issuing bank to verify the details.
If the issuing bank verifies the transaction, then the payment is approved, and the successful response code is sent to the payment processor.
While if the issuing bank does not approve the transaction then the issuing bank sends a failure response code and at last, failure message is displayed to the customer.
Types of testing required on payment gateways
The below types of testing are required for testing the payment gateway.
Functional Testing
Whenever a new payment gateway integrated into your system, functional testing is required to see if the application behaves the way it behaves with other payment gateways.
It should handle the calculation as it is mentioned in the contract shared with you. For some gateways who are well renowned in the market such as PayPal, functional testing can be avoided.
Integration Testing
Integration testing very important testing that must be performed on any payment gateway. You need to verify that your application behaves the way you want to be even after integrating a payment gateway.
You need to check if the customer is successfully able to place an order and then after successful payment, you need to make sure that the funds are successfully received in the merchant’s bank.
Also, you need to verify if the transaction is void or refunded.
Performance Testing
Performance testing is critical for testing a payment gateway. You need to have a maximum number accessing the payment gateway at the same time and see if the payment processor fails.
You need to increase users above a threshold level to check the performance of the payment gateway.
Let’s see some of the important test cases which you should write for a payment gateway.
Test payment gateway with different card numbers – credit and debit. You should have dunny card numbers to test this flow.
Verify the flow when there is a successful response from the issuing bank.
After a successful transaction from the issuing bank, the successful payment message should be displayed to the user.
When the payment is successful on the payment gateway, the update must be sent to the customer email or phone number.
Verify the flow when there is a failed transaction.
Verify the flow when the payment gateway stops responding.
Verify the transaction flow with fraud protection or security settings.
For testing purposes, after the successful transaction, an entry must be made in the database. That entry must be checked according to the architecture designed.
Checking the flow in case the session expires while doing transactions.
Verify if the payment gateway operates on the currency of the country in which the customer is doing the payment.
If the application allows payment through various options, then each option should be tested individually.
Verify that refund is of the same amount the transaction has been canceled or void. There should be any discrepancy in the amount as it can cause loss of business.
Verify that the refund initiated to the customer account is credited within the stipulated time period mentioned by the applicable terms and conditions.
Verify the refund time period is different for different payment modes. For example, refund initiation time for Paytm is less as compared to credit or debit cards.
Verify the flow when a customer voluntarily cancels the transaction in the middle of the transaction.
There, you can click on the “Try the sandbox” button.
You will be redirected to the official site where you must fill some important information to sign up on the page.
You will get an email in your email address provided for account confirmation.
You need to create your account by adding a password.
You will then be able to see the portal of Braintree.
You can find the sandbox keys and then integrate them into your application.
You can change the settings of your sandbox in the settings tab in the portal.
You can add settings like which cards would be accepted and you can add the CVV of the mock cards used in testing the application.
It is completely a different component which needs extensive testing as this drives the profit for the client and any kind of irregularities would let the client in loss
Payment gateway testing tips for testers
Try to have a sandbox environment for testing and implementing any payment gateway in an application
Make sure that the data capture and data flow of the system is tested for anomalies, For instance, not capturing credit card expiry date, showing a duplicate transaction
Ensure end-to-end testing of the transaction process
Be aware of the limitations of payment gateway sandboxes
Make sure that error messages and popping up as it is supposed to be
Checklist for Payment gateway testing
Make sure that you have data for duplicate credit cards from various card providers
Collect data for payment wallets
Make sure that data regarding error code has been documented
Check all the functionality and settings regarding the payment has been tested thoroughly
Make sure that the pop-up messages are working fine
Check the fraud preventive measures are working fine
Session expiry sequence check
Check the currency integration
Check the payment gateway behavior with respect to interruptions
Conclusion
Start setting the test environment and have a sandbox integrated with it. Gather all the test data for testing the sandbox example: all the dummy credit and debit cards and associated information with it. Formulate a test strategy and start your payment gateway testing.
People, hold on to your hats! We’re entering the tumultuous world of data breaches, where businesses quake like alarmed squirrels and chaos erupts at every turn.
This is not something to take lightly, I assure you. Imagine sensitive information about your company being made public, resulting in chaos and mayhem beyond anything you could have imagined. Yikes!
So, you ask, what precisely is a data breach? It resembles a cunning cat burglar breaking into the digital fortress of your company, stealing priceless information, and causing havoc in its wake.
There is more to this story, so hold on tight. We’ll examine the different types of breaches, including hacking, insider threats, and even actual physical intrusions on the order of a Hollywood heist. Wondering how these cunning attacks take place?
Here is all about data breaches in detail.
What is a Data Breach?
In simple terms, a data breach means the personal and confidential data of a person or an organization is made available in an untrusted environment by unauthorized people without the consent of the person or organization concerned. This is sometimes also called a data or information leak.
Data breaches can have legal consequences and hence closing the loopholes is becoming a big priority for all organizations.
It is important to understand that it is not external elements that are trying to access your data but there can be several other intentional and unintentional things happening within your company that can lead to a data breach.
Over six million data records were exposed globally during the first quarter of 2023 due to data breaches. Since the first quarter of 2020, the fourth quarter of 2020 saw the highest number of exposed data records, or nearly 125 million data sets.
Cybercrime peaked up to 600% than the previous years in the covid pandemic time
Small businesses are the target of 43% of cyberattacks, but only 14% of them are equipped to defend themselves, according to Accenture’s Cost of Cybercrime Study.
Malware attack is the most common type and 92% of the attack is delivered through email
By 2023, it is expected that the average cost of a ransomware attack will be $1.85 million per incident.
The company Lookout claims that in 2022, when half of all mobile phone owners worldwide were exposed to phishing attacks every three months, the highest rate of mobile phishing ever recorded was seen.
Concerningly, 45% of respondents admit that their security measures fall short of effectively containing attacks, and a startling 66% of respondents say they have recently been the victim of a cyberattack. Furthermore, a sizeable majority of 69% think that the nature of cyberattacks is changing and becoming more targeted. These figures demonstrate the urgent need for improved security protocols and preventative measures to deal with the growing danger of cyberattacks.
43% of c-suite business leaders reported data breaches on 2020
So far, in 2021 phishing attacks climbed to 36% compared to 22% in 2020
Types of Data Breach
Based on how and where the data breach happens it can be classified into several types. Let us investigate these types now.
Unintentional or internal errors by the Employees
Employees are the biggest asset of any company. This asset can be the strongest and weakest link in the security chain. Sometimes they tend intentionally or unintendedly help in data breaches. Incidents like sending a bulk email with all the people in CC instead of BCC, or responding to phishing emails and compromising sensitive information, exposing sensitive information during screen sharing sessions with the people inside or outside the organization contribute to the data leakage to authorized people or environment.
Sometimes employees can be indirectly contributing to the data breach by not following the right security standards. Like not installing the proper system updates, using weak passwords or not securing the database with a password could make it easy for people from outside to access the company data.
Cyber Attack
Cyber Attacks have become common these days. We frequently hear the militant groups defaced the govt websites. A more common word for it would be hacking. To put it in words a cyber attack means attacking a computer, network, or server with the intention of stealing information, alter and delete data causing intentional damage to the other organization.
The most common form of cyberattacks is using malware which captures the user’s sensitive information and uses this information to cause damage to him or his assets. Like at an individual level it can be used to gather a person’s bank login credentials and then used from transferring his money to other accounts. Some malware can help you get complete control over the other system, such that it can perform tasks under your command.
Social Engineering
This is one of the most common forms of attack. Here the criminals and hackers pose as legitimate and authorized personnel and try to gather sensitive information from the company employees. One of the common methods used is phishing. This includes emails that look very real and people are tempted to open them or click links in them that will compromise the security.
This includes emails like password expiry with reset link or mandatory training list with a link to the training, courier received, and many more. The employees need to be vigilant and should report these kinds of emails to their security team to avoid further damage to the company and its data.
Unauthorize Access
Inside the office premises, there are likely to be several important documents containing sensitive information. It is important thus for the organization to implement proper access controls. The rooms should be made accessible only to people who are authorized. The same goes for internal applications.
For e.g. the personal data of the employee which would include his salary. This needs to be accessible only to HR, his manager, and himself. If another person can access this data, then that will also be called a data breach even though the information may not be transmitted outside the organization.
Ransomware
This is one of the fastest-growing cybersecurity threats across the globe. This type of malware will encrypt all the files in your system. Without the decryption key, you could end up losing all your data. At this point, the attacker can blackmail the organizations for huge amounts for sharing the decryption key.
This is a very serious threat for almost all organizations because even with all the network security in place this malware can easily make its way into your systems through phishing emails, attachments, etc.
The only way out is to take a frequent backup of your system and as soon the malware is detected you should clean your system and restore it with the last backup data.
Intentional Damage
Employees can cause maximum damage to the organization since they have access to the data and information. In several cases, the employees would intentionally leak the data to unauthorized people outside the organization for monetary gains or take revenge.
There is no way no control these kinds of data breaches apart from educating the employees against doing it and setting up a structure where other employees can anonymously report any suspicious activity by the others.
Theft
The systems in an organization contain a lot of information. Physical theft is another contributor to a data breach. This includes the computers, hard disks, and even the hard copy of documents that are not shredded after use.
Theft not necessarily means someone breaking into the office it could also occur outside the organization. Like an employee in a coffee shop with his laptop unattended, or an important document left in the dustbin without shredding can make its way to landfills and fall into unscrupulous hands while disposing of laptops and other digital media if data is not completely erased it can also lead to a data breach.
These data breaches are prevalent across all sectors. Banking and Healthcare are the most critical among them. When it comes to healthcare the picture is sad. The medical data, reports, and billing details are sold in black.
This data is then used to manipulate the patients into buying more costly medicines, higher premiums for insurance, and many other shady activities. It is a big business. Make sure when you visit a hospital or medical center, they have proper data protection measures in place to avoid such situations.
How does Data Breach Occur?
A data breach is so easy to carry out at this juncture of time. But what are the reasons that make data breach too easy to carry out or how does data breach occur?
Weak and stolen credentials
Applications that are built based on poorly written code
Poorly designed network
Malicious link and software
Over permissions
Companies inside the companies
Improper configuration
How to Prevent a Data Breach?
Now that we have seen how a data breach can happen and what can be the consequences, let us try to fix the damage. While it may not be possible to make the system 100% foolproof, below are some of the ways in which each organization can try to minimize the occurrences of these data breaches.
#1) Keep only what you need
Extra data and information storage can become cumbersome to manage and maintain. The best way is to store only the necessary information both as hard copy and soft copy. Another way is to educate the employees about the retention period of different categories of documents as per the business needs. It is also important where you keep your data. Always make sure not to store important data in multiple places. 1 backup should be enough.
#2) Secure Your Data
As simple as it may sound, having proper safety controls in place is very important for Data Loss Prevention (DLP). Ensure the rooms have limited and restricted access. Ensure not to provide temporary access to anyone for these rooms. Also, regularly revisit the access controls to ensure that only required people have access and ensure to remove access for people who no longer need it
#3) Educate the employees
Employees are your best bet against a data breach. It is advisable to create extensive security policies to avoid data breaches and educate them about it as well. They should be told to follow the policies and security standards mentioned. The onus is on the company to make sure the employees are aware of these policies and standards to be followed.
#4) Destroy before disposing
Companies tend to dispose of unused and expired electronic data, including laptops and pen drives. It is important that the data in these electronic devices is destroyed before it is disposed of. This would help avoid the threat of data getting into the wrong hands after disposal.
#6) Update your policies
With new means of a data breach and information leak being identified, one must make sure that the security policy of the company is updated regularly to counter such attacks. The employees should be notified and made to understand the policy updates made from time to time to make sure they are vigilant against phishing attacks and potential data breaches.
#7) Enhance digital security
Digital security needs to be enhanced with the use of strong passwords containing mixed alphabets and numerals, the encryption and decryption keys need to be changed regularly, and the digital data transfers need to be monitored especially the information shared outside the intranet.
#8) Keep software and system updated
Keeping the system and software updated is always your best bet against malicious malware attacks. While hackers are trying new ways to break through into your system, the security and anti-virus companies are always trying to block these attempts. It is thus important to make sure that all systems install these important updates.
#9) Password Guessing
Password Guessing is one of the most common ways to get unauthorized access into any system. Announcing your password in public and writing it randomly on a slip or a whiteboard can reveal your password to a large number of people apart from the people you want to get access to it. Hence leading unwanted people to get access to your system.
Another very common flaw is keeping the password weak or guessable. Many people keep their passwords on their birthdays, street names, pet names, etc. that are easily guessable by other people. This can also lead to hackers getting access to your system and exploiting it.
Your password is like a key to your home, if it reaches the wrong hands, your valuables can be stolen. Similarly, if you lose your password to the wrong people, you have a chance of getting your sensitive information stolen.
Always keep a strong password and ensure it’s secrecy.
#10) Recording Key Strokes
Recording Key Strokes can be done easily through malware called keyloggers. These keyloggers can record everything that is typed on your system. Everything including your emails, passwords, messages, credit card information, etc. This information can be then used by hackers to exploit your security.
#11) Insider threat
Sometimes your own employees can be a threat to you. They have your insider information, which they can reveal to your opponents. This again can be a blow to your data security.
Always be sure which information is to be passed to which employee and train them properly and get the proper documents signed to keep your security information safe.
#12) Eavesdrop Attack
An eavesdropping attack as a name suggests is like eavesdropping into someone’s private conversation. In digital words, in eavesdropping attacks, the hacker mimics themselves as a trusted server. This attack can be either
An active attack
A passive attack
In an active attack, the hacker who is mimicking as trusted serves sends queries to the victim and gets all the details from the victim, faking himself as a trusted source.
In a passive attack, the hacker listens or eavesdrops on the information being transferred on the network.
#13) Data Backup and Recovery
Data recovery and backup are essential for reducing the effects of a data breach. Having reliable data backup and recovery mechanisms in place can help organizations recover their compromised data and minimize the damage in the event of a breach, where unauthorized access or data loss occurs.
Organizations can guarantee that they have a secure copy of their data stored apart from the production environment by routinely backing up important data and systems.
This enables them to fix the underlying security problems before restoring the data to its pre-breach state or a known clean state. Additionally, data backup makes it easier for forensic investigations to determine the reason for and scope of the breach, supporting incident response efforts.
Data recovery from backups also lessens the chance that ransomware attacks will be successful because businesses can restore data without having to pay the ransom. A company’s resilience is increased by the implementation of effective data backup and recovery procedures, which guarantee that crucial data is accessible even in the event of a data breach.
Risk Mitigation Strategy
Create an incident response plan that is clearly defined and frequently updated to serve as a roadmap for action when a breach occurs.
Conduct frequent risk assessments to find any potential holes or flaws in your systems, networks, and data handling procedures.
Assign data a level of sensitivity and put the right security measures in place to protect high-risk data first.
Apply the least privilege principle to make sure that people only have access to the information and systems they need to carry out their specific roles.
Put in place reliable monitoring techniques to spot irregular behavior or potential security breaches and act quickly.
Evaluate the security procedures followed by partners and third-party vendors who handle sensitive data, and establish strong legal contracts to guard against data breaches.
Educate staff members on security best practices and how to spot and report security threats by conducting regular security awareness training sessions.
Use encryption methods to protect sensitive data while it is in storage or being transferred, lowering the possibility of unauthorized access in the event of a breach.
Applying security patches on a regular basis will address known flaws in software, systems, and equipment.
Network segmentation limits an attacker’s ability to move laterally in the event of a breach, potentially reducing damage.
Implement thorough logging and monitoring systems to record and examine security events, assisting with breach detection and investigation.
Conduct periodic security audits to evaluate the efficacy of security controls, spot any gaps, and make the necessary corrections.
Consider purchasing cyber insurance coverage to lessen financial losses and legal obligations brought on by data breaches.
Some of the Biggest Data Breach Incidents
Even with the policies and procedures in place, companies do fail to protect their data and personal information. These data breaches can have far-reaching consequences if not found and plugged at the right time. In this section, let us see some major and most talked about data breach instances across the globe.
Facebook
In September 2018, the hackers were able to manipulate the code for “view as” to get access to the user security token. With this token, it was possible to hack into the person’s Facebook profile. This exposed the personal data of 50 million users. To counter this Facebook had to forcefully log out 90 million users and had to reset the access tokens as well.
British Airways
In a major data breach that happened in 2018, the hackers were able to access the British Airways customer database and get the personal and financial details of more than 3,80,000 customers who made or changed any of their bookings over a 2-week period. The compromised data included name, address, email ID, credit card details including the expiry, and some security codes as well. Even before they could fix the damage, another 1,85,000customers’ data were compromised through the reward bookings vulnerability.
American Medical Collection Agency (AMCA)
AMCA is a billing service agency in the US. Their medical data was breached for about 8 months from Aug 2018 to Mar 2019 before coming to light. Though the investigations are still, a rough estimate indicates that personal, medical and financial data of more than 25 million people was compromised. The extent of the impact is still under investigation and the company has recently filed for bankruptcy.
Equifax
One of the US’ biggest credit reporting companies faced the wrath of hackers in 2017 jeopardizing the data of more than 143 million users who had used their services for generating a credit report. The breach took about 2 months to find and fix and the hackers were able to get the SSN, DOB, names, address, and even driving license details. As a precautionary measure, the clients were asked to freeze their credit cards or at least enable a fraud alert. The exact extent of the impact is still unknown.
Oregon Department of Human Services
This was a result of a massive phishing email campaign to which around 9 employees responded by providing their user IDs and password. With this information, the hackers were able to gain full access to the medical data and records of about 6,45,000 patients. This included their personal record, financial data, medical history, and SSN details as well. The officials were detected the data breach 3 weeks later when most of the damage was already done.
eBay
In one of the biggest corporate data breaches in history, the hackers were able to access and compromise around 145 million customer data including the username and password. The company for initially reluctant to believe a data breach in its high-security system. But later, they found that the hackers had used the corporate accounts of three employees to access the customer data. The customers were then asked to reset and update their passwords to avoid any unforeseen issues.
Community Health Systems
Around 206 hospitals in the US come under the umbrella of the Community Health System. In a major data breach in 2014, the hackers were able to access to more than 4.5 million patient records belonging to these 206 hospitals.
This indicated a very high risk of identity theft of the patients belonging to Texas, Tennessee, Florida, Alabama, Oklahoma, Pennsylvania, and Mississippi where they have most centers. They were later able to find out that the data breach was carried out through sophisticated malware by hackers from China.
Ways to improve Data Breach Mitigation
Companies have deployed an incident response team to respond timely when there is an attack so that days required data breach cycle can be reduced.
The incident response team should be tested using a mock drill to ensure its reliability.
The latest technologies must be implemented to detect the breach at an early stage.
For better insights and to stabilize the security seek the help of threat intelligence
Have an effective business continuity plan and proper backup
Seek expert advice rather than listening to half-witted one
How Much Does Data Breach Mitigation Cost
The average cost of data breaches globally according to a study in 2019 is $3.92 million. What makes such attacks devastating is that the time is taken to find the attack and stop it.
One data breach cycle is 279 days and often companies find it hard to contain the attack before it. However, there are companies that have managed to put an end to the cycle before 200 days managed to reduce to the loss of $1.2 million less than the usual.
The most devastating attacks were caused by malicious attackers and it took longer than the usual average to detect such attacks. For example, you have the case of Wiper Ransomware attacks in front of you.
Conclusion
While data breaches have become common and even the biggest companies are not spared by them, we must make sure we take all precautions to keep our data safe and secure.
It is important to understand that with greater connectivity all data is at stake both for individuals and for companies. This means that even as an individual you need to understand the importance and of your personal information and you need to safeguard it against misuse.
Code Coverage vs test coverage, how do they differ? Code coverage and test coverage are very important when it comes to checking the effectiveness of code. Before explaining in detail about the cruciality of Code Coverage and Test Coverage in software testing. let’s find out how do they differ. Even though code coverage and test coverage are misunderstood they lot their meaning and usage differ a lot.
So, Code Coverage vs Test Coverage how do they differ? Let’s have a look
What is Code Coverage in the unit testing?
Code coverage is the degree to which any application code of any software has been executed. A huge number of test cases are applied to the application code, and the software is then checked. This is a case of white box testing.
White-box testing of this type sends the report of the application codes that are left unassessed by the test case that has been applied to the application code. In some specific situations, several test cases are further included to have better code coverage.
Usually, the term code coverage is used when an application is in its current running state. While the application is running, code coverage lets the developers know about the number of codes that have been unit tested/covered. In other words, it gives a quantitative measure of how much code has been executed and how much code has been left untouched. This report can further be used for better software testing purposes.
After learning what code coverage is, a question pops up about why someone would need the concept of code coverage. This is a confusion in the minds of many. Here is a brief description of why we need code coverage during software testing.
Wish to know the difference between smoke testing and sanity testing?
Developing a good quality software test and applying it to the application code is not enough. While the software code is running, the developers also need to assess the fact of whether the software test is being carried out efficiently or not. For this purpose, code coverage is required. Without code coverage, no one would ever know if the software test that was carried out was efficient or not.
Code coverage gives an exact measure of the code that has been tested. It makes it easier for developers to look for the code that remained untested. As testing the code is very important, the accidental leaving out of any code from testing can turn out very disadvantageous. This is why an exact quantitative measure of the tested code becomes extremely important when testing any software’s source code.
The developers get to know what amount of codes have been tested, and hence, they can assess those codes carefully. This makes it very easier for the developers to make their software free of any potential errors and glitches. It gives out the degree of the software code that has been tested.
After the reason for the necessity of the code coverage is discussed, next comes the methods to carry out software testing. Here are the five broadly classified methods or coverages that come under code coverage. Methods of Carrying out the Code Coverage
Statement Coverage: Statement coverage is the type of white box testing where the statement coverage makes sure that the executable portions in the application code are executed at least once if not more. It tells about the statements that can be executed at least once through the given requirements.
Statement coverage covers the entire source code and gives out what is not executed. This turns out to be very advantageous to the developers as they can remove all the drawbacks of the application codes.
Statement coverage helps to remove the possible drawbacks of the application code which includes all the dead codes which are the piece of code that calculates the results, but the results are never utilized. These codes are a wastage of space and hence are supposed to be removed.
Statement coverage also helps to identify the unused statements and branches. There are certain statements and branches in the application code that are never used. These statements and branches should be removed. Any missing statement is also reported, and the developers can deal with it as they please.
Decision Coverage: Decision coverage is based on Boolean concepts. The true or false value of Boolean expressions is reported through this coverage.
Branch Coverage: In branch coverage, the modules of codes are tested and reported. The main motive of branch coverage is to ensure that each branch of the application is executed at least once if not more. It also helps to measure how many independent statements exist in the application code.
Condition Coverage: Condition coverage reveals the way using which the variables in the conditional statements are evaluated. It is a better way to provide proper coverage to the control flow, which was not the case with decision coverage.
Finite State Machine Coverage: It works based on the frequency of visits of static states and other transactions like these. Finite state machine coverage turns out to be the most complicated method of coverage as the basics of this type of coverage work on the design of the structure of the software.
Now, one might be confused as to which method should be chosen for the task that would prove the most efficient one. This decision is made on many criteria. Some of the criteria include the number of defects permissible or the probability of errors arising. Another one would be the cost that is involved in the software testing type.
Though the main decision of choosing the method is dependent on the number of defects or loss of sale that can occur. The higher is the number of defects probable, the lower would be the chances of using that specific coverage for the software testing. What are the Advantages of Using Code Coverage?
After reading the information above, it is normal to have confusion regarding why anyone should choose code coverage over any other coverage. Here, the advantages provided by the code coverage is mentioned below:
Quantitative in Nature: Code coverage is one such unique coverage that gives out the results in a quantitative measure. This quantitative measure can be very useful to the developers.
Can introduce Own Test Cases: In case the already available test cases do not provide the proper testing of the software, one can introduce their own test cases to make the coverage more efficient. This probably is the best advantage of code coverage as it can help you to make your coverage more and more effective.
Easy Removal of dead Codes and Errors: Some areas of the program are left unattended in the execution time. Or maybe there is an existence of dead codes or useless codes. In such cases, code coverage provides the best way to figure out and remove the errors easily. This increases the efficiency of the coverage performed.
But just like every coin, even code coverage comes with its own set of limitations and disadvantages. How to get 100% code coverage?
it’s possible but will be very expensive to attain 100% code coverage
Even with 100% code coverage, your code has no guarantee of being perfect
100% test coverage does not mean that the suite is perfect. What you need is 100% path coverage
it will depend on the language and framework you use. For instance, Ruby has a very mockable framework through which you can stub or mock out a large portion of the code and will save you from building complicated class composition and construction designs
TDD is the best way to attain 100% line coverage
Unit tests can be used as a regression prevention method
What is path coverage in software testing?
Test cases that can be put to use to test linearly independent paths in a software system. in the short, the control flow of an application will be tested in the path coverage process. Testers have to look into each individual line of code that plays its part in a particular module to make sure that there is no issues. What are the Disadvantages of Code Coverage?
Unable to Report Special Features: Code coverage lacks the ability to report the absence of any special features that should have been implemented in the application code. This absence can harm the software significantly, but while using code coverage, this section of coding limitations is left untouched and hence proves to be very disadvantageous to the developers and their software.
Impossible to Check all Possible Values: If a new feature is added, it is almost impossible to check all the possible values of the feature using the concept of code coverage. This is a drawback as some of those values can turn out to be useless.
Unable to Detect improper Usage of Logic: Code coverage fails to detect the improper usage of logic in the code. The improper logic can make the whole software go in vain. This is probably the biggest drawback of using code coverage for software testing.
This was code coverage in Code Coverage vs Test Coverage. Test coverage is another software testing metric with a little bit of difference. What is code coverage in unit testing?
Test coverage can often be confused with code coverage, but the truth is that it is quite different. Test coverage provides the amount of test that has been executed. It reports about the parts of the application that are running when the coverage is being implemented. It gives the report of the tests that have been carried out on the application. We can say it is more about the test instead of application codes. Why do We use Test Coverage?
When there are so many coverages out there, what was the need for test coverage in such a situation? The answer to this question is given below:
One thing about test coverage is that it reports the area of requirement which has not been covered by the test cases.
It also helps to detect the areas of the test cases that are useless to software testing. These cases are reported to the developers.
It can also help the developers to create additional test cases whenever and wherever required. These additional test cases help ensure that the coverage is maximum.
What are the Advantages of Test Coverage?
Test coverage provides some special features that prove advantageous for the developers.
Test coverage enhances the quality of the coverage over the software testing and thereby improves software testing.
It marks the portions of the application codes that were touched or may be fixed.
The paths that remained untested are also reported to the developers.
Any defect that could generate potential threats for the software in the future is detected early in the course of execution and thereby fixed. This improves the efficiency of software testing.
Any gaps or scopes in the test requirements are noted and brought to the notice of the developer as soon as possible.
Test coverage can prevent any defect leakage.
What are the Disadvantages of Test Coverage?
The test coverage also has its own set of drawbacks, which can make any developer hesitate from using the test coverage.
The disadvantages are listed below:
Manual in Nature:The biggest and most disadvantageous defect of the test coverage is that it doesn’t have any tools available. Yes, that’s right that test coverage is very efficient, but the setback is that everything is manual. One needs a proper professional to sit down and do the testing work, which is hectic and causes some inefficiency on its own. There are almost no automated tools available that help the manual work become even a tad bit easier.
Scope of Judgmental Errors: There can always be a huge number of judgmental errors even after carrying out the whole test coverage very efficiently and properly.
Scope for Careless Errors: The introduction of manual work always introduces a scope of careless errors. Any slight carelessness on the part of the professional carrying out the software testing can prove to be very disadvantageous for the software. This could be a huge setback.
Code Coverage vs Test Coverage
S.No.
Property
Code Coverage
Test Coverage
1.
Definition
It refers to the execution of the application code while the application is running.
It is not a specific plan or result but the overall test plan issued for the codes.
2.
Aim of the coverage
The automated tests that are running can be monitored by the developers using code coverage.
It gives a measure of the amount of code that has been processed and run by the tests.
3.
Subtypes of the coverage
Code coverage has a number of subtypes which include statement coverage, condition coverage, Branch coverage, Toggle coverage, FSM coverage.
Test coverage has no subtypes. It is all just complete in itself.
Tools used of Code Coverage
There are several tools available in the market to check code coverage. These include both open-source and paid tools. Most of these tools can also be integrated with the build and project management tools for better results. While selecting a code coverage is important to check the features it offers along with its integration with other tools used by your team.
Some of the popular code coverage tools are:
py
It is an open-source code coverage tool for python. It records the codes that are executed as part of the testing and gives the result in percentage. It can be used to measure how much of the code is tested per test cycle. It also reports out the part of the code that could have been executed but was not. This helps to plan the testing activities better for the next cycle.
Serenity BDD
It is mainly a UAT (User Acceptance Testing) tool that also provides code coverage options. It allows you to write epics, sub-epics, and stories for each code path and user behavior. The results generate from Serenity BDD contain much more details than just code coverage. Another advantage is that it can easily integrate with several other popular tools like Appium, Sauce Labs, Jenkins, Jira, and more.
JaCoCo
JaCoCo, Java Code Coverage, is an actively maintained code coverage tool that became popular after EMMA and Cobertura were retired. It can be easily integrated with Maven, Gradle, Jenkins, Visual Studio among others to get an understanding of the java code coverage during the testing.
PITest
It boasts itself as the gold standard in test and code coverage. While most code coverage tools only tell you what lines of codes were executed and the ones that were missed, PITest also uses mutation testing and helps your code to find more bugs also. PITestt modifies the actual code to run unit tests on it and thus helps in finding issues as well.
NoUnit
It was developed by FirstPartners.net and is used the check the code coverage for Junit tests. It gives you a clear understanding of the part of the code that was executed and the part that was missed. It generates a color code report which is very easy to interpret even by non-technical people. Tools used for Test Coverage
Unlike code coverage, test coverage can not be quantified. Test coverage mostly refers to the coverage with respect to the functionality or module and not the code. Many times you may need to write some code to analyze your code coverage. There are some code frameworks that can help you with your test coverage.
Junit: It is the unit testing framework for Java. It is open an open-source tool have can very well be used for Test Driven Development (TDD) as well as for finding the test coverage. This framework is very popular among both developers and testers.
PyUnit: PyUnit is another very popular framework that is used in TDD and helps with the test coverage calculations as well. It can be used for writing test cases, unit test cases, test cases, and even test fixtures. As the name suggests, it is used for Python developers and testers as well.
Conclusion
Both code coverage and test coverage are the measurements of assessing the quality of the software testing that is being carried out. Both are extremely essential when it comes to software testing and checking the internal coding and structure of the system. So there is no point in carrying out code coverage vs test coverage
In layman terms, the code coverage metric tells about the application code that is being executed. While the test coverage is mainly focused on the overall test plan. Everything is done only to focus on the well-functioning of the software that is supposed to be launched.