What is V-model and W-model in Software Testing

V model and W model are two of the most important models that are followed in the process of software testing. V Model, also known as Verification and Validation Model, is similar to waterfall model that follows a sequential path of execution of processes. Waterfall model is a linear sequential design approach in which the progress flows in one direction.
On the other hand, W model is a sequential approach to test a product and can be done only once the development of the product is complete with no modifications required to be done in between.
This type of testing is most suitable for short-term projects as medical applications.

There are a number of other ways in which the two models are different from each other. Read on to know and understand the difference between the two models in detail.

V-Model

Devised by the late Paul Rook in 1980s, V-model was developed with an aim to improve the efficiency and effectiveness of software development. The model was accepted both in Europe and Asia as an alternative to waterfall model.
v model and w model
V-model is a step-by-step process in which the next phase begins only after the completion of the present phase. The steps in this process do not move in a linear way. Instead, the steps in this process are bent upwards. When this model is compared with the waterfall model, there are larger chances of emphasizing on products testing.
If this model is used to test a product, there is an assurance that the final product developed will be of high quality.

Phases of V-Model

The phases of V-model includes verification, coding, and validation that are further divided into different stages.

1) Verification phase:

The verification phase of V-model includes business requirement analysis, system design, architectural design, and module design.

  1. Business requirement analysis is the stage of having a detailed communication with the customer so that it gets easier to understand and comprehend his/her exact requirements. It is beneficial to complete acceptance test design planning at this stage.
  2. System design stage involves understanding and detailing out the entire hardware and communication setup for the product being developed. System test design can also be planned at this stage.
  3. Architectural design stage involves understanding the technical and financial feasibility of the product before it is actually developed. The focus is to understand the data transfer that will take place between internal and external modules.
  4. Module design stage focuses on designing a detailed plan for the internal modules of the system. Also known as low-level design (LLD), it is important to ensure that the design is compatible with other modules in system architecture and other external systems.
2) Coding Phase:

During this phase, the actual coding of the system modules is taken up. On the basis of system and architectural requirements of the program, the best suitable programming language is selected using which the coding is done at par with the coding guidelines and standards. The code is then reviewed and optimized to ensure the delivery of best performing product.

3) Validation phase:

 During this phase, the product undergoes various forms of testing.

  1. Unit testing is conducted at an early stage so that the bugs are eliminated at the starting stages of product development.
  2. Integration testing is done to check whether there is a valid and proper communication within the internal modules of the system.
  3. System testing enables the testing of the entire system and to ensure if the internal modules communicate effectively with the external systems.
  4. Acceptance testing is done to test a product in the user’s environment and to check if it’s compatible with the other systems available in the environment.

Advantages and Disadvantages of V model

Advantages of the V model
  • Simple and easy
  • Systematic
  • East to track
  • Testing starts from requirement phase itself
  • All the Functional Areas can be covered
  • Instructions and recommendations included
  • Detailed explanations of problems
  • Defects can be found at an early stage
  • Works well for small projects
Disadvantages of the V model
  • Not flexible
  • Regular updates required if changes in the project are required
  • Can’t be used in complex projects
  • No scope for risk management and mitigation
  • One the project is over its end

When to use the V model?

  • Mostly used in the smaller level project with budget constraints
  • Can be used when the testing time is less
  • When you have enough senior and experienced testers
  • Optimum for projects which will not have any changes in between the project

W-Model

Introduced by Paul Herzlich, W-model signifies the one-to-one relationship that exists between the documents and test activities.
v model and w model
Using this model helps in ensuring that the testing of the product begins from the very first day of the product’s development.
This model is known to deal with the problems that could not be resolved using V-model.

Phases of W-Model

Using W-model helps in ensuring that each phase of the product development is verified and validated. W-model can be divided into a number of stages that includes:

  • Building test plan and test strategy to ensure that the product delivered is tested rigorously before delivery.
  • Identifying the scenario for the product.
  • Preparing the test cases using specification and design documents.
  • Reviewing the test cases and sharing an update on the basis of review comments.
  • The product is then sent for testing using various testing methodologies such as unit testing, integration testing and specification-based testing, etc.
  • Once the product is tested rigorously, it, then, undergoes regression test cycles and user acceptance testing.

Know More: 11 Differences between verification and validation in Software Testing

Advantages and Disadvantages of V model

Advantages of the W model
  • Testing can run in parallel with development process
  • No division between constructive and destructive tasks
  • Often Developer is responsible for removing defects
Disadvantages of the W model
  • Complex to implement
  • Resource allocation might not be sufficient in most of the cases
  • Testing have equal weightage as many activities in the development process

When to use the W model?

  • When there are much more activities to do
  • Performed when the V model is not enough
  • Can be implemented Technical design, architecture and functionality comes to the picture

Conclusion

While it is true that the V model is an effective way to test and reveal results for dynamic test cycles, W models are more effective and help one get a broader view of testing.

The connection that exists between various stages of testing is much clear with W Model.
One must choose wisely as the game is not about choosing a v model and w model but delivering an optimum quality product.

Explain the Heuristic Test Strategy Model

Heuristic test strategy model is the set of patterns that are used to design a test strategy for a particular product. To be used predominantly by professional testers with an aim of self learning, a heuristic model particularly includes a project environment with numerous testing techniques that help in identifying the product’s quality criteria and product elements.

Some of the key areas of heuristic model are as mentioned below:

  1. Project environment is a set of resources and limitations related to the project that may impact the entire process of testing.
  2. Product elements are the elements or specific areas of a product that the testers intend to test. The aim behind this is to include all relevant and important areas that require attention.
  3. Quality criteria are the specific rules, ethics and sources that assists testers in identifying if a product has some issues or not.
  4. Test techniques are the methods used to create tests for a product. These involve analysis and study of project’s environment, product elements and quality criteria.
  5. Perceived quality is the result attained after conducting tests on a product. This involves applying of various testing methods, which enables one to reach a conclusion about the product’s quality.

Common Testing Techniques
Since heuristic is an observation-based model that evolves over time, there are a few other techniques that can be applied universally in every sphere. These include the following:

  1. Function testing

This type of testing is used to identify the functions performed by a particular product. It involves testing each component of the program to validate its functions and sub functions.

  1. Domain testing

To conduct this type of testing, the user decides on the type of data to be tested for different functions along with several other aspects such as typical values, invalid values, convenient values, etc.

  1. Stress testing

 This type of testing aims at testing the product’s functionality under different stress situations. The conditions selected can be varied such as complex data structure, high load, long test runs and low memory conditions.

  1. Flow testing

Conducted to check the entire flow of the program, flow testing is based on establishing connection between activities.

  1. Scenario testing

This type of testing is done to check the product on the basis of all the possible situations and circumstances. Conducting this helps in identifying the way in which a product would respond in different situations.

  1. Claims testing

 This testing is done to verify the various claims made about the product in magazines, advertisements or any other place.

  1. User testing

Conducting this type of testing helps in determining the ways in which a user interacts with the system. The aim behind this type of testing is to be at the users place and test the product from his/her perspective.

  1. Risk testing

This type of testing is used to check the way in which a product responds in a particular circumstance or situation. Designing of appropriates test cases based on the issues identified is an important part of this type of testing. The best test cases can be prepared after seeking help from past test reports, design documentation, etc.
automation testing

  1. Automatic Checking

This type of testing enables one to conduct automated testing of a product. It is important to ensure that the tool selected for automated testing enables one to partially automate test coverage, use automatic test data generators, etc.
Things to consider before conduction heuristic testing
It is important to keep certain key factors in mind before conduction this form of testing. Some of these include:

  • The purpose of the project as interpreted by the user as well as the tester
  • Information needed to conduct the test should be precise and concise
  • Relationship between tester and developer
  • The team members who will be conducting or supporting the test
  • The sequence and duration of product events

Selecting product elements
While performing a test, it is important to ensure that all the unique and important aspects of the product are taken in focus so that there is no bug that is missed. Some of the product elements that are important while conducting a test are:

  • Structure of the final product
  • Functionality delivered by the product
  • The data used by the product and to be used while testing the product
  • Interfaces that are used to access the product/system
  • Identifying the ways in which product will be used
  • Defining quality criteria such as reliability, usability and scalability

Conclusion
Testing a product involves a lot of challenges. Therefore, it is important to have well-defined strategies that can enable one to deal with such challenges and situations. Since heuristic model is one such strategy, implementing some new rules and focusing on developing some better products can enable one to deliver much-better products.

Unit Testing vs Integration Testing : What’s the Difference?

Unit Testing vs Integration Testing! Do you know what’s the difference between unit testing and integration testing?
Both of them are essential in the development phase as unit testing will evaluate the code you have written for particular feature means while integration testing will ensure that it’s working fine with the rest of the system.
But the difference doesn’t end there.
Let’s make an inch to inch comparison between both the process. Unit Test vs Integration Test!

1) What is UnitTesting:

  • Tests that are conducted by developers for a particular unit of code such as module or component that has been developed by them
  • One of the most effective and simple way to determine if the individual units of source code that are being tested are perfect and ready to use
  • Helps in cutting down the cost of bug fixes as the bugs are identified during the early stages of the software development life cycle (SDLC)

2) What is Integration Testing:

  • A type of testing that tests a product in terms of the integration between its modules
  • Its one of the most effective software testing techniques in which the individual units of a program are combined and tested as a group
  • Executed with the help of test stubs and test drivers that assist in its easy execution

Unit Testing vs Integration Testing – The Differences.

Both these forms of testing have their own significance but it is important to understand the difference between the two:

1. Aim

Unit testing tests each part of the program individually so as to ensure that each of them perform correctly. Whereas, integration testing combines the modules and test them as a group for their optimum functionality.

2. Time of testing

Unit testing is independent and can be performed at any point of SDLC. On the other hand, integration testing is conducted after unit testing is completed and system testing begins.

3. Sub-Divisions

Unit testing cannot be sub-divided whereas integration testing can be divided into top-down integration, bottom-up integration and so on.

4. Integration Errors

Unit testing cannot identify integration errors, or other system-wide errors that exist. Whereas, integration testing can identify all sorts of errors as its purpose is to test and identify errors in modules.

5. Specification

Unit testing begins with the specification of the modules whereas integration testing begins with interface specification.

6. Type of Testing

Unit testing is a form of white-box testing, which refers to testing of internal structure of a program or application. Whereas, integration testing is both white-box and black box testing.

7. External Dependencies

Unit testing does not examine whether a program code works properly with external dependencies whereas integration testing tests the code on the same parameters.

8. Maintenance

Conducted by the software developer oneself, testing a program using unit testing is cheaper as compared to integration testing which is executed by a team of testers.

Unit and Integration Testing are Equally Important

Both these forms of testing have their own importance as the absence of one might impact the overall performance and development of the product.

While unit testing ensures that optimum quality during the development phase of the product, integration testing ensures that there are no errors pending after the development of different modules.
Moreover, identifying the errors during integration testing raises the need for conducting unit testing again so as to identify the specific error in the program.
Therefore, to ensure the premium product delivery, it is better and advisable to keep implementing both these forms of testing as and when required.

13 Best Java Tools 2020

Choosing the right software development tool is like choosing your favorite candy from a candy store. They all have their unique taste and touch, but you still love them all equally.

Java is an object-oriented programming language, which is specially designed for mobile and set-top box devices. In this blog, we have focused on the 13 best Java tools that are readily expected to be used in the upcoming year and how well it would satisfy user needs.

2018 has seen many ups and downs in the development scenario since many of the developers constantly tried to learn and upgrade themselves to a new version of the tool.

Recent advancements show that modularity and light-weighted Java tools will increase popularity among development processes and expertise to demonstrate new concepts.

The below given lists showcases the top 13 Java tools for 2019:

Java Development Tools

 
1. Eclipse

Inspite of the many numbers of tools landing in the market today, Eclipse remains one of the preferred tools for almost 60% of the Java developers. Eclipse is a one-stop-shop of all IDE’s that features plug-ins and interfaces which can be customized at any time.  It also serves a huge community and followers and is popular among large enterprise developers.

The current version of Eclipse IDE is 4.5 which supports Java Version 8. A few benefits of using the tools include:

  • Easy Navigation properties
  • Ease of error debugging
  • Easy package and plug-in downloads
  • Auto-completion feature
  • Supports multiple programming languages other than Java
  • Quick updates to the tool available
  • Syntax check while writing the code

2. NetBeans IDE

The NetBeans is an open-source IDE that supports almost all of the Java development types like Java SE, Java ME, and Java EE.  The NetBeans IDE is provided by modules where each module defines a function that supports Java language. You just have to download & install the tool and you are ready to go.

It is known for its reusable framework property which simplifies the development of Java desktop applications. The latest version being the 8.2, it doesn’t run on the JDK9 Platform.

Benefits of using NetBeans are:

  • Dynamic Language Support
  • Supports Java Standards and Platforms
  • Power-packed GUI Builder
  • Support for Non-Java code
  • Platform Extensible
  • Ideal for first-timers

3. Java Development Kit (JDK)

The Java Development Kit offers a whole lot of features to developers to bring out the best in their programs. Since the inception of the Java platform, JDK remains one of the most used tools that includes a private Java virtual machine (JVM) and some other meaningful resources.

JDK is well known for its high performance, functionality, and memory allocation techniques. Both low-level and high-level functionality can be incorporated into the tool with the Java security API.

Benefits

  • Low cost of use
  • Easy for novice users
  • Easy transition from C to other languages.
  • User-friendly
  • Appeals internationally

4. Oracle JDeveloper

As the name suggests, this tool was announced by Oracle and provides a complete and comprehensive development framework. The Oracle application development aims to provide a declarative and visual approach to build an enhanced development experience.

Prior to the recent version of 11g, JDeveloper was available for 3 java editions viz. Java edition, studio edition, and the J2EE edition. It also consists of high-level features like Ant support, Open API, Audit & metrics, etc. Which may not be available on the other development tools for Java.

Benefits:

  • Incorporate security services
  • Re-usability of code features
  • Visual development environment
  • More than 150+ Ajax-enabled components available
  • Support to Java Persistence API

Java Testing Tools

 
5. JRat

The fourth tool Java Runtime Analysis Tool, widely known as Jett, is used as a testing tool for Java applications. It is an open-source platform that helps in determining the application’s execution and performance measurements. It identifies potential risks and analyses data using its pre-built desktop application.

Benefits

  • Is an open-source profiling tool
  • Supports a wide developer community
  • Improves framework support
  • Allows high-level profiling functionality
  • State of art heap analysis tool
  • Can perform runtime analysis for a remote machine

6. IntelliJ IDEA 13.1

IntelliJ IDEA will always act as a good friend for your application development. When you are busy writing the code, IntelliJ Idea will be busy creating the class references, flow execution, decision tree, fields, methods and much more.  Using this functionality you can quickly navigate through your code and have an error analysis done in no time.

Any of the recent IDE’s will provide you more or less similar functionality, but IntelliJ is the only one that will present you with a deep static code analysis allowing you to focus more on your creativity.

Benefits:

  • Smart completion of your code
  • Data flow analysis
  • Re-factoring
  • Duplicate detection

7. Apache ANT

Apache ant is a popular and traditional built tool since its launch. Apache ANT is an open-source tool for Java developers provided by Apache Software Foundation. The tool is known to automate your process of software building which is achieved in easy steps.

Read also: Top 11 WordPress Plugins For Developers and Testers

The tool includes Ant libraries that have defined tasks to compile and execute the program. The benefit of these libraries is that it does not require to write another set of code for building the application. The whole process takes place and is defined by the targets which are XML files.

Benefits

  • Since Ant is built using plain XML, if you already know XML, it’s very simple to learn Ant.
  • Includes a large list of predefined tasks
  • Interface for creating your own task list
  • Clean and easy to understand dependency reports
  • Supports conflict management

8. Gradle

Gradle is the next generation view for JVM based tools. It takes its lessons from the famous Apache Maven and Ant and provides the better of the two. Gradle includes a declaratively modeling of your difficulty domain making use of strong and expressive domain-specific language (DSL), which is implemented in Groovy and not XML, unlike Apache Ant. Because Gradle is a JVM native, it allows you to write custom logic in the language you’re most comfortable with, be it Java or Groovy.

Benefits

  • Can create multiple APKs for your app
  • Re-usability of code and build process
  • Integration customized to the android studio.
  • Integrated SCM
  • Jenkins integration environment
  • A good number of plug-ins available

9. Mockito

Are you dealing with advanced framework integration? Then Mockito is a tool you should search for. Mockito offers you a mocking framework that is used by people looking out for unit testing their java application. Just as the name, it follows building a fake mock-up for testing purposes.

Mockito allows you to define classes as well as in interfaces that support test espionage and not just mock-ups. It also offers a good void method handling so you need not write separate code for the same.  The only drawback being its maintenance issue.

Benefits

  • Efficient dependency handling
  • Can create tests in advance
  • Can create mock-ups for non-accessible resources.
  • Client involvement possible
  • Isolation of system made easy

10. YourKit

Known to be a Java profiling tool, YourKit offers the most powerful and innovative performance analysis capability.  Your Kit solves some of the major reasons giving rise to performance and scalability problems. This functionality thus saves a lot of time developers put in.

Along with the above benefits, it also offers management of CPU and memory profiling. The tool is an all-stop shop for all the advanced Java profiling capabilities and features.

  • Advance YourKit features at disposal
  • Boosts productivity and saves a lot of time
  • High-level result-oriented
  • Easy and straight process for installation
  • Developer friendly.

11. Clover

Clover is a code coverage tool that identifies bugs that were not tested and can prove fatal for the systems working. It provides test automation functionality for smooth integration. The recent version being the 4.1.

Read also: What is Code Coverage? Difference between Code Coverage and Test Coverage

Many organizations use clover for desktop and server applications. It balances the effort between a code that runs the program and code that tests it. You can test a part of the program that changed instead of testing the entire application all over again.

Benefits

  • Includes code coverage tests in the reports
  • Can integrate with any existing system
  • Quality assurance and cloud sourcing
  • Compare actual and expected results

12. FindBugs

Findbugs is a static analysis tool that identifies potential software bugs of the Java bytecode.  These benefits the users to identify any bugs well before in advance. The tool is like a plug-in and has to be used in the development tools like Eclipse and IntelliJ.

You can check for bugs without actually running the application. It doesn’t focus on style or formatting of your code but searches for actual bugs that might hamper the performance.

Benefits:

  • Generates meaningful results
  • Eliminates false positives
  • Application-specific detector packages
  • Pluggable architecture
  • Setting can be shared among the network

13. Cobertura

Cobertura is a free Java tool that calculates the percentage of code the test has accessed. It is a plug-in that can be installed from Jenkins. It enables you to visualize and measure Java code by putting it in a detailed tree view.

Benefits

  • Configure built tools
  • Execute code from Jenkins
  • Hierarchy of projects
  • Generates HTML based reports
  • Customizable threshold

Conclusion

The Java environment is vast and keeps on changing with new tools and techniques every year. Though every tool discussed here have their own advantages and drawbacks, it all depends on a user’s need whether to use or not.

All the upcoming improvements in Java forces developers to adopt this tool for a wider array of digital transformations, and looking towards the future, Java is certainly one of best tool to make amazing apps in the coming years.

9 Best Practices to Improve Software Testing Process

Software testing is the process used to evaluate a product to find out whether it actually meets the specific functions. It is the process that helps to provide the product owners with the information about its quality and whether it meets the required standards.

Providing the team with an unbiased and independent view of the software, software testing is an excellent step that allows business houses to comprehend the risks associated with the implementation of the software. Some of the common properties that are tested during software testing include whether it meets specified needs such as its design, development, responds correctly to all kinds of inputs, executes the desired functions within the desired time frame, is operational and achieves the results as desired by the stakeholders.
Software testing is conducted at a different stage of Software Development Life Cycle (SDLC). However, when a team chooses to begin it early, it helps in saving a lot of time, cost as well as ensure the delivery of an error-free product. If not, the team can always begin to conduct testing on a software as soon as an executable version of the software is available.
A typical testing process can be divided into five major steps:

  1. Planning
  2. Analysis and designing
  3. Implementation and execution
  4. Evaluating and reporting
  5. Test closure activities

While every organization ensures that the software testing is conducted in a way that helps identify and fix all bugs, there is always a scope of improvement. Mentioned below are some of the simple ways that can be implanted to ensure process improvement in software testing:

  1. Define a process

To ensure a successful execution of a software testing process, it is important to have a process in place beforehand. The process defined by the company should be robust as well as approved by the experts to ensure that there is no hurdle in its execution. Even though it is not required that the testing team follows this process stringently, but this definitely can serve as a guideline to begin the process. The process can improve and develop along with the product and testing requirements.

  1. Involve testers in development

It is an excellent practice to involve testers in the process of product development right from the beginning of the SDLC. This is because, it helps the testers gain a better understanding of the product, its requirements and thus, develop comprehensive tests for the product. Along with this, doing so is also a cost-effective option to avoid bugs in the final product as well as prevent any delays in its delivery.

  1. Maintain all the records

While it is true that all the bugs and product development related information is readily available over email, it is highly advisable to store this information intelligently in the form of documents and reports. This is to ensure that there is no scattering of the information over email or internet rather, it can be easily accessed from one single place, which, in turn, helps improve productivity.

  1. Keep test cases ready in advance

It is good to keep the test cases ready in advance during requirement analysis and design phase. This will help improve the productivity as well as save a lot of time of both the developers as well as testers. It can also help the testers identify and determine whether the requirements mentioned for the product can be tested or not.
It is important to make sure that the test cases were written are clear enough to be comprehended by both the developer as well as a tester. 

  1. Have a positive mindset

For a tester to successfully implement the testing of a software, it is important to have a positive mindset before starting the test. This is because having a positive attitude helps one to easily identify any bugs or errors in the application. Think that there are multiple bugs and errors in the code and you will definitely end up finding many.

  1. Divide the functional module

It is important for the testing team to divide the entire product module into smaller parts. This is because it helps ensure that each and every aspect of a particular application is tested. The division of the entire logic into smaller modules also make it easier to identify and fix the bugs so as to deliver a high-quality product.

  1. Write a detailed bug report

When a testing team opts to write a clear and detailed bug report, it not only saves a lot of time of the company but also for the developers. It is important for the testers to understand that the clarity in the bug report is essential to fix any sort of bugs that are present in the product and hence, ensure the delivery of an error-free product.
Establish a good relationship with the development team by not only sharing a bug report but also suggesting them the most appropriate ways to fix the same. This will not only save the time of developers’ but also safeguard you from any sort of delay.

  1. Create a good test environment

It is the responsibility of the testing team to ensure that the test environments established by it are an exact imitation of the product’s production. This is to ensure that there are no flaws or bugs that are missed out during the product’s testing.
For instance, there might be a situation when a developer has added certain configurations or run scripts but has missed adding the same in release document or configuration file. This, in turn, would lead to the application’s success in the lower environment but failure during production. In such a situation, when the testing team has complete control over the testing environment but developers do not, it is possible to gain a control over such situations.

  1. Increase communication with developer

Establishing better and improved channels of communication between tester and developer can help in the process improvement in software testing. Having a discussion with the developer regarding any sort of issues, bugs and confusion can help in making things, process and the product better.
testbytes-mobile-app-testing-banner
It is important to keep a record of all such discussions over email so that one can refer back to them in the case of any clashes or when the need arises.
To meet the ever-changing demands of the clients, it is important for the testing team to upgrade their skills and meet the essential requirements. Incorporating the above-mentioned tips can also be helpful for process improvement in software testing. Thus, it is the time that you stand strong professionally with your skills and deliver the best to the market.

5 Latest Software Testing Standards

Software testing standards are a set of rules or standards that are expected to be met in a particular product or service offered by a company. Compliance to these set of rules is important for a company as it defines the extent to which a company is performing it duty legally and is not engaged in any sort of malpractice. Moreover, doing so also ensures the delivery of high quality products.
Software Testing Standards
While there are several software testing standards like ISO and IEEE standards already in place, another ISO has been recently added to the list in order to match with the pace of global technological advancements and it is ISO/IEC/IEEE 29119.

IEEE Standards Association

According to the IEEE standards association, the latest software testing standards are permitted to be used within a software development life cycle (SDLC) or in any particular organization that is involved in software development and testing.
Implementing these standards is an excellent way for the companies to adhere to the only internationally recognized and agreed standards for software testing as well as find a supreme quality approach towards quality assurance.
Introduced and developed by a group known as “Working Group 26” in May 2007, the new software testing standards have been developed as a series that when executed ensures maximum quality and performance of the product.

Standards of ISO/IEC/IEEE 29119

Divided into five different sections, each section of this testing standard has a different purpose and need to serve as mentioned below:
1. ISO/IEC/IEEE 29119-1
This software testing standard focuses on definitions and concepts of all other standards in the 29119 series of quality standards. It helps user understand the vocabulary on which the other standards in the series are built as well as provides relevant examples to show the way in which each concept works in practice.
A complete knowledge bank, the 29119-1 can also be considered to be the foundation of IEEE software testing standards. Some of the topics that are included in this series are introduction to software testing, testing processes in SDLC, risk-based testing, common test practices, defect management, etc.
2. ISO/IEC/IEEE 29119-2
 This standard has been designed with an aim to develop a generic process model that can be used for conducting testing in any SDLC.
As per this standard, the testing process will work on a three-layer process that would include organizational test specifications such as organizational test policy and test strategy, test management and dynamic testing.
Laying a special emphasis on alleviation of risks, this standard allows the process of testing to focus on product’s key features and attributes under test.
3. ISO/IEC/IEEE 29119-3
 With a special focus on documentation, this standard provides standardized templates that are designed in a way that covers the entire SDLC. However, these templates can also be customized as per each organization’s unique requirements.
Designed in alignment with the process defined in the ISO/IEC/IEEE 29119-2, this software testing standard is likely to surpass the IEEE 829 standard.
4. ISO/IEC/IEEE 29119-4
With a focus on software test design techniques developed for organizations and SDLC models, the techniques present in this standard can be an effective way to develop test cases that can be used to present evidence that each requirement mentioned under test have been successfully met or there are certain defects that need to be rectified.
Designed on the basis of BS-7925-2 component testing standard, this standard covers a number of dynamic software testing techniques such as equivalence partitioning, classification tree method and boundary value analysis.
5. ISO/IEC/IEEE 29119-5
 This standard supports those techniques and approaches that support keyword driven testing, a technique that involves describing test cases on the basis of predefined set of keywords.
These keywords are based on a set of actions that are required to be performed using specific steps in a test case. Writing keywords in a natural language helps one gain an easy understanding of these test cases.
Implementing these standards may enable companies to deliver better products in the market, a lot of these are encouraging to follow authentic and reliable software techniques and approaches as a whole.
Conclusion
Software testing standards are a must as it serves a validation for customers as well as the owner the testing company in ensuring that software testing is meeting certain standards.

It doesn’t matter what kind of standards or regulatory rule your company is complying. Ultimately these standards will make sure that customer is happy and the testing company is getting good reviews. A win win situation for everybody.

What’s the Difference Between Alpha and Beta Testing: When to use them?

Alpha and beta testing might be confusing  when it comes to explaining it, but the clear distance would be

Alpha testing is done before product release to find out issues it can have once it reaches the user.  It’s a kind of user acceptance testing where a group of people will be given access to an early version and their  reaction to the software will be recorded via video and questionnaire

Beta Testing on the other hand is testing the software after deployment. The Beta version of the software will be released in the AppStore itself and limited users who have signed up for beta testing will get access to the app.

Phases of  Alpha and Beta Testing

Phases of Alpha testing

Alpha, Beta, and Gamma tests are usually done for product-oriented companies.

  • Pre-Alpha:- During this phase the software is in a prototype form. Though the UI is complete, all other features might still be incomplete.
  • Alpha: During this phase, the Software is close to the development, and internal testing for bugs and flaws begins.
  • Beta: During this phase, the software is released to a certain user base known as beta testers to collect their reviews and feedback and then Amend the software based on that feedback.
  • Gamma: After Beta Testing the changes are made to the software and the software is tested for any bugs or flaws. No major changes are made in the functionality of the software during this phase, rather software is checked for bugs and they are corrected.
  • Release: If everything goes well, the software is released to the public.

 Alpha Testing

Alpha testing is a type of internal testing performed for Commercial off-the-shelf software (COTS) by a highly-skilled group of testers and engineers at the developing site to find bugs that were initially not found.

This dedicated team observes the behavior and notes the product down the differences.

It usually involves testing the product by imitating the real user environment by carrying out tasks that an actual user might perform.

Once the software passes the alpha test, it is considered fit to be used for the next phase, i.e. beta testing.

The term ‘alpha’ can be differentiated based on the projects it is used for.

In the case of a web application, alpha testing can be interpreted as an online application that has access via personal invitation, to gather initial feedback from the users for improvement and bugs.
Alpha Testing diagram
Pros of Alpha Testing

  1. Primarily used as usability testing which is done by internal developers who develop the app or by the testers
  2. Critical issues or fixes can be addressed by developers immediately in Alpha testing
  3. This is one of the fast ways of getting approval from the customer before proceeding with the process of delivery
  4. Any major or minor changes, which might have been missed in the requirement gathering phase, can be fixed at this stage itself

Cons of Alpha Testing

  1. Data presented by the customer usually doesn’t represent the actual data. Data created by testers/team might need a pre-approval from the customer
  2. Since alpha testing is just the usability testing, reliability and security are not performed
  3. The key users of the system deployed by the customer might not be the actual system users in reality and may be unaware of the working of it

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Beta Testing

Beta-testing basically deals with imitating the end-users input to ensure release readiness.

It’s considered the last stage of testing and includes distributing the products to beta test sites and individual users.

Some other tests may also include testing a free trial of the product downloaded from the internet.

The product is then tested by users in real-time to find bugs that are left to be fixed. It is also used to determine the quality of the product.

Beta testing also includes many sub-tests if required, for some software, particularly for PC games.

These tests are known as Open beta tests and closed beta tests.

The closed beta test is followed immediately after the alpha test ends and is limited to only a few selected beta testers.

The latter which includes testing by the general public is then known as the open test.
Beta Testing diagram
Pros of beta testing

  1. This testing helps in identifying the gaps between the actual implementation and the requirement gathering. This may add/remove a few requirements
  2. Any requirement which may not have been captured initially in the contract is worked upon thereby reducing the product failure risk via customer validation
  3. The Beta test ensures the application runs in a real business environment with live data
  4. The after-sales service requirements may be identified in beta testing. Any support required for future implementation can be understood and arranged accordingly

Cons of Beta testing

  1. Finding the correct beta tester or a group of testers can sometimes be difficult
  2. Since the testing is carried out in a real-time environment, you cannot have any control over the testing mechanism

Gamma Testing
Many of us have been turning around the term ‘Gamma’ thinking about its importance.

It is the third and final testing phase just before the release of the app.

Since being the final phase of the testing, Gamma does not include any enhancements and changes to be made to the product, only the part of the code that is wicked or tends to affect the performance of the product can be changed.

It validates the performance and functionality of the product making sure the product is completely ready for use by the end-user.
Gamma testing diagram
Pros of Gamma testing

  1. You can be assured of the safety and functionality of your application just before its market release. It does not bring any chance of modification and changes unless the identified bug is of high importance.
  2. This testing is done directly without any in-house testing being repeated. Hence, saves a lot of time
  3. You can be well sure about the readiness of the application, fulfilling all the requirements stated by the customer

Cons of Gamma testing

  1. There is very limited scope for the team to update or change the code, and if there is any, it might hamper the performance of the application
  2. Due to heavy deadlines, increasing pressure, and shorter development cycles, many organizations tend to skip the Gamma testing phase

Phases of Testing

Alpha, Beta, and Gamma tests are usually done for product-oriented companies.

  • Pre-Alpha:- During this phase the software is in a prototype form. Though the UI is complete, all other features might still be incomplete.
  • Alpha: During this phase, the Software is close to the development, and internal testing for bugs and flaws begins.
  • Beta: During this phase, the software is released to a certain user base known as beta testers to collect their reviews and feedback and then Amend the software based on that feedback.
  • Gamma: After Beta Testing the changes are made to the software and the software is tested for any bugs or flaws. No major changes are made in the functionality of the software during this phase, rather the software is checked for bugs and they are corrected.
  • Release: If everything goes well, the software is released to the public.

Difference Between Alpha Testing And Gamma Testing

Alpha Beta Gamma
Why is it done End to end testing of the software, make sure the software is ready for beta testing Beta Testing is done to ensure that the software is ready to be released to the market Gamma testing test the software for some particular requirements
When is it done Alpha Testing is done at the end of the development phase Beta Testing is done after Alpha Testing Gamma testing is done after Beta Testing
Who does it In house development or testing team Beta testers who are a group of end-users conduct Beta testing Gamma testing is done by a limited number of end-users with limited features and use
Result Alpha Testing detects the bugs, flaws, missing features in the software It is done to improve the functionality, usability, and compatibility of the software It gives assurance to the software that all specified requirements are met
Next step Beta Testing Gamma Testing Final release

Care to see an infographic about the difference between alpha and beta testing?
Entry and exit criteria for Alpha, Beta, and Gamma Testing
Entry Criteria for Alpha testing:

  • Software requirements document
  • Complete list of Test Cases
  • Testing Team
  • Test Lab environment setup
  • Ready QA Build
  • Test Management tool
  • Traceability Matrix

Exit Criteria for Alpha testing:

  • Execution of all the test cases and their pass status.
  • Completed Test summary report
  • Severity issues fixed and closed
  • Sign off document

Entry Criteria for Beta Testing:

  • Alpha Testing Sign off document
  • Completed Beta version of the software
  • Test Environment for Beta testers
  • Real-time fault catching tools
  • A team of Beta testers

Exit Criteria for Beta Testing:

  • All issues should be fixed
  • Beta tester’s Feedback report
  • Beta testing summary report

Entry Criteria for Gamma Testing:

  • Beta testing summary report
  • Software is ready for public release
  • Software fulfills all its requirements for the Public Release

Exit Criteria for Gamma Testing

  • Software is ready for market release
  • No critical bug is detected in the software
  • Software fulfills all the specified requirements

Conclusion

Alpha and beta testing are very important when it comes to software engineering. So next time, don’t forget to do your homework about alpha, beta, and gamma testing for improved software quality.

20 Steps to Configure Jenkins Email Notification

Emails have been an important aspect in every business due to its ease of use, omnipresence, and availability.
Several plug-ins are available in the market that allows you to configure every aspect of email notifications, one of which we are going to see now is Jenkin (Jenkins Email notification).
Jenkins email is a freeware software that allows continuous integration and delivery of ongoing projects.
You can customize it based on when an email is sent, who should receive it, and what the email says.
It is platform independent for testing and reporting changes in the base code in real time.
The software is installed on the main servers to access it centrally.
Jenkin Email notification is a Java-based plugin tool to automate notification alert whenever an Email is received.
It suits best for the CI (Continuous Integration) code.

Its plug-in framework makes it highly adaptive and Master-Slave framework makes it highly scalable, which in turn makes it worthy for start-up/Labs and big enterprises at the same time.

Steps to Configure Email Notification using Jenkin

Jenkins email notification configuration is a step by step protocol:
1. Install Jenkin
2. Open Jenkin on a local host. Setting up an SMTP server, navigate to Manage Jenkins (Manage Jenkins options is   displayed on the right-hand side of the screen)
3. Once on the Manage Jenkins page, select the manage plug-ins option
jenkins
4. Click the available tab on manage plugin page.
jenkins
5. On the filer field displayed on the right-hand corner of the screen, start typing ‘Notification’.
jenkins
6. Click the checkbox next to ‘Email-ext plugin’ option and install it.
jenkins email notification
7. Now click the checkbox next to ‘Email-ext Template Plugin’ and click the install without restart button

8. Go back to manage Jenkin, select the configuration system option.
jenkins email notification

9. Enter the SMTP server name, Email address, and password, check SSL and enter SMTP port
jenkins email notification
10. Test the Jenkin Email notification by sending a test email
jenkins email notification
11. Save the settings
To configure the advanced properties for the plugin, click on the Override Global settings check box, then click the advanced button. This allows you to define recipients for every type of email trigger and also a pre-send script that can be used to modify the email just before sending.

  1. go to the home page , click created job and then ‘configure’

jenkins email notification
jenkins email notification

Know More: Top 10 Manual Testing Tools for 2019

  1. you can also see a dropdown with the name ‘Add post-build action’

jenkins
14. Select the email notification value
jenkins email notification
15. Enter the email ID of the recipient in the Email Notification box. Click the box next to it which says ‘Send e-mail for every unstable build’ option.
jenkins email notification

  1. Click the Add-post-built action button again and select the ‘Editable Email Notification’ value

jenkins email notification

  1. Fill the fields and then click the advanced settings option in the editable email notification box
  • Project Recipient List : email_id@gmail.com

jenkins email notification

  1. Next you have to click ‘ Add trigger ‘ and then select always

jenkins email notification
jenkins email notification

  1. Click ‘Save’
  2. go to home page, click job and then ‘build now’


Conclusion
The main objective of using Jenkins in emails is to install and successfully configure the email-ext plugin.
Jenkins, is an open-source tool that can be used to perform Continuous Integration and build automation.
Using it, the development process can be easily integrated and the results are automatically created and tested, thus making identification of errors easier.

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Strategy and Methodology of Big Data Testing

With advancement in technology and the new development taking place on a regular basis, there is a large pool of data that is also being generated. This, in specific terminology, is known as big data. Big data is a large pool of information which is made up of large data sets that cannot be processed using traditional methods of computing. This is because traditional methods work effectively on structured data stored in rows and columns and not for the ones that do not follow any specific structure.
app testing
Big data can be available in varied formats such as images or audio. This data varies in its structure as well as format for every record tested and is typically characterized by volume, velocity and variety.

  • Volume: Available in large amount, big data is generally available from different sources
  • Velocity: Generated at high speed, this data is to be processed and handled quickly
  • Variety: Big data can be available in various formats such as audio, video, email, etc

Big data testing
Availability of big data is leading to a demand of big data testing tools, techniques and frameworks. This is because increased data leads to an increased risk of errors and thus, might deteriorate the performance of applications and software.
When conducting big data testing, a tester’s goal is completely different. Testing of big data aims at verifying whether the data is complete, ensure an accurate data transformation, ensuring high data quality as well as automating the regression testing.
Strategy and methodology of big data testing
Big data testing is typically related to various types of testing such as database testing, infrastructure testing, performance testing and functional testing. Therefore, it is important to have a clear test strategy that enables an easy execution of big data testing.
When executing big data testing, it is important to understand that the concept is more about testing the processing of terabytes of data that involves the use of commodity cluster and other supportive components.
Big data testing can be typically divided into three major steps that include:

  1. Data staging validation

Also known as pre-hadoop stage, the process of big data testing begins with process validation that helps in ensuring that the correct data is pushed into the Hadoop Distributed File System (HDFS). The data for which validation testing is done is taken from various sources such as RDBMS, weblogs and social media. This data is, then, compared with the data used in the hadoop process in order to verify that the two match with each other.
Some of the common tools that can be used for this step are Talend and Datameer.

  1. “MapReduce” validation

MapReduce is the concept of programming that allows for immense scalability across hundreds of thousands of servers in a Hadoop cluster.
 During big data testing, MapReduce validation is counted as the second step in which a tester checks the validity of business logic on every node followed by the validation of the same after running against multiple nodes. This helps in ensuring that:

  • Map Reduce process is working flawlessly.
  • Data aggregation or segregation rules are correctly executed on the data.
  • Key value pairs are generated appropriately.
  • Data is validated after Map Reduce process.
  1. Output Validation

On successfully executing the first two steps, the final step of the process is output validation. This stage includes generating files that are ready to be moved to an Enterprise Data Warehouse (EDW) or any other system based on the specific requirements.
Output validation phase includes the following steps:

  • Validating that the transformation rules are correctly applied.
  • Validating the data integrity as well as successful loading of data into the target system.
  • Ensuring that there is no data corruption by comparing the target data with HDFS file system data.

Architectural & Performance testing
Big data testing involves testing of a large volume of data, which also makes it highly resource intensive. Therefore, to ensure higher accuracy and success of the project, it is important to conduct architectural testing.

It is important to remember that an improperly designed system may degrade software’s performance as well as does not allow it to specific requirements. This, in turn, generates a need of conducting performance and failover test services.
When performance testing is conducted on a system, it implies that it is being tested for aspects such as time taken to complete a job, utilization of memory and similar system metrics. On the other hand, the purpose behind conducting a Failover test is to verify that data processing takes place with a flaw in case of data nodes’ failure.
Conclusion
It is obvious that big data testing has a set of its own challenges such as need of technical expertise to conduct automation testing, timing issues in real time big data testing and need to automate the testing effort, it has numerous advantages over traditional database testing such as ability to check both structured and unstructured data.
But, a company should never rely on one single approach for testing its data. With an ability to conduct testing in multiple ways, it gets easier for the companies to deliver fast and quick results

Top 15 Open Source Security Testing Tools For 2021

open-source security testing tools help to identify the security lapse in your web applications.  They unravel the loose ends of your web app that’s easily traceable and helps you sealing it off for a long time.

Its primary function is to perform the functional testing of an application and find the vulnerabilities that could lead the data leak or hacking, without accessing the source code.

There are a number of paid and free web application testing tools available in the market. Here, we will discuss the top 15 open-source security testing tools for web applications.

1. Wapiti

Wapiti

Wapiti is one of the efficient web application security testing tools that allow you to assess the security of your web applications. It performs ‘black box testing,’ to check the web applications for possible vulnerability.

During the testing process, it scans the web pages and injects the testing data to check for the security lapse. Supporting the GET and POST HTTP attacks, Wapiti identifies various types of vulnerabilities, such as:

Features

  • File disclosure
  • Database Injection
  • XSS injection
  • Command Execution detection
  • CRLF Injection
  • XXE injection
  • Potentially dangerous files
  • Weak .htaccess configurations that are easy to bypass
  • Backup files giving disclose

Wapiti is a command-line application that is hard for beginners but easy for experts. The software requires complete knowledge of commands.

2. Zed Attack Proxy

open source security testing tools

Popularly known as ZAP, the Zed Attack Proxy is an open-source, developed by OWASP. Supported by Windows, Unix/Linux, and Mac OS, ZAP enables you to find a variety of security vulnerabilities in web apps, even during the development and testing phase. This testing tool is easy to use, even if you are a beginner in penetration testing.

Features

  • Automatic Scanner
  • Authentication support
  • AJAX spiders
  • Dynamic SSL certificates
  • Forced Browsing
  • Intercepting Proxy
  • Web Socket Support
  • Plug-n-hack support
  • REST-based API and much more.


3. Vega
open source security testing tools

Vega is a free open-source web application testing tool. Written in JAVA, Vega comes with a GUI interface. It is available for Windows, Linux, and Mac OS. It helps you:

Features

  • Find SQL injection
  • Validate SQL injection
  • File inclusions
  • Cross-Site Scripting (XSS)
  • Improve the security of TLS servers

The tool also allows you to set preferences such as maximum and minimum requests per second, the number of path descendants and number of nodes, etc.

Once supplied with proper credentials, you can use Vega as an automated scanner, for intercepting proxy and run it as a proxy scanner.

4. W3af

open source security testing tools

W3af is a popular web application security testing framework. Developed using Python, it offers an efficient web application penetration testing platform.

This tool can be used to detect more than 200 types of security issues in web applications, including SQL injection and Cross-Site Scripting. It checks for the following vulnerabilities in the web-apps:


Features

  • Blind SQL injection vulnerability
  • Buffer overflow vulnerability
  • Multiple CORS misconfigurations
  • Insecure DAV configurations
  • CSRF vulnerability and much more

Available in both GUI and console interface, W3af is easy to understand. It also allows you to authenticate the website through the authentication modules.

5. Skipfish

Skipfish is a web application security testing tool that crawls the website recursively and checks each page for possible vulnerability and prepares the audit report in the end. Written in C language, Skipfish is optimized for HTTP handling and leaving minimum CPU footprints.

The software claims to handle 2K requests per second, without displaying CPU footprints. Also, the tool claims to provide high-quality positives as it uses a heuristics approach during crawling and testing web apps.

Also Read : What is Automation Testing? Techniques, Best Practices, Tools,advantages

The Skipfish security testing tool for web apps is available for Linux, FreeBSD, Mac OS X, and Windows.

6. Ratproxy

Ratproxy is another opensource web application security testing tool that can be used to find any lapse in web applications, thereby making the app secure from any possible hacking attack. This semi-automatic testing software is supported by Linux, FreeBSD, MacOS X, and Windows (Cygwin) systems.

Ratproxy is optimized to overcome security audit issues that are repeatedly faced by users in other proxy systems. This testing tool easily distinguishes between CSS stylesheets and JavaScript codes.

7. SQLMap

SQLMap

SQLMap is a popular open source web application security testing tool that automates the process of detecting and utilizing SQL injection vulnerability in a database of the website. Packed with a variety of features, it has a powerful testing engine that enables the test to penetrate effortlessly and perform SQL injection check on a web application.

SQLMap supports a large number of database services, including MySQL, Oracle, PostgreSQL, Microsoft SQL Server etc. Furthermore, the testing tool supports six types of SQL injection methods.

8. Wfuzz

open source security testing tools

Wfuzz is another open-source tool for a web application security testing tool that is freely available on the market. Developed in Python, this testing tool is used for brute-forcing web applications. Some of the features of Wfuzz are:

Features

  • Multiple Injection points
  • Output to HTML
  • Cookies fuzzing
  • Multi-threading
  • Proxy support
  • SOCK support
  • Authentication support
  • All parameters brute-forcing (POST and GET)
  • Baseline request (to filter results against)
  • Brute force HTTP methods
  • Multiple proxy support
  • HEAD scan
  • Post, headers, and authentication data brute forcing

While using WFuzz, you will have to work on the command line interface as there is no GUI interface available.

9. Grendel-Scan

Grendel-Scan is a useful open source web application security tool, designed for finding security lapse in the web apps. Available for Windows, Linux, and Macintosh, the tool is developed in Java.

It comes with an automated testing module that is used for detecting vulnerabilities in web applications. Besides, the software also includes many features, especially for manual penetration testing.

open source security testing tools

10. Arachni

Arachni is an open-source web application security testing tool designed to help penetration testers and administrators assess the security of web applications. This tool is developed to identify security lapse in web applications and make it hacker-proof. Arachni can detect:

Features

  • SQL Injection
  • XSS
  • Local File Inclusion
  • Remote file inclusion
  • Invalidated redirect, and many others

Arachni supports all the main operating systems, such as MS Windows, Mac OS X, and Linux.

11. Grabber

open source security testing tools

Grabber is an open source web application scanner that detects security vulnerabilities in web apps. It is portable and designed to scan small web applications such as forums and personal websites. It can identify the following issues:

Features

  • Cross-Site Scripting
  • SQL Injection
  • File Inclusion
  • Backup files verification
  • Simple AJAX verification
  • Hybrid analysis testing for PHP application using PHP-SAT
  • Generation of a file for stats analysis

Grabber is a small testing tool and takes more time to scan large apps. Moreover, since it was designed for personal usage, the scanner does not have any GUI interface and no feature for PDF report generation. Grabber was developed in Python. One can easily find the source code and modify it as per the requirement.


12. Acunetix
open source security testing tools
A complete automation penetration testing tools for your application that can scan your websites for 4500+ vulnerabilities. The most astounding feature of Acunetix is that it can crawl thousands of pages without any sort of interruptions.
Features

  • Can easily generate any kind of technical and compliance reports
  • Scans both open-source as well as custom-built applications
  • Deep scan technology for effective scanning
  • Most advanced SQLi and cross-site scripting testing
  • Effective login sequence recorder
  • Acusensor technology that enhances regular dynamic scan
  • Built-in vulnerability management module


13. Netsparker
open source security testing tools
one of the most accurate scanner out there in the market. Owing to its ability to identify deadly vulnerabilities such as SQL injection, Cross-site scripting, etc.
Features

  • Ability to scan any web-related app
  • Coverage for more than 1000 vulnerabilities
  • You can also check for coding related errors
  • Ability to generate regulatory compliance and web application


14. Metasploit
open source security testing tools
One of the most widely used penetration testing framework. Metasploit is an open-source testing platform that helps security testers to do much more than that of vulnerability assessment.
Features

  • The framework is much more advanced than that of competitors
  • More than 1500 exploits
  • Meta modules for discrete tasks such as network segmentation testing
  • Can be used for the automation of many processes
  • Many infiltration scenarios mockup features


15. Burp Suite

Even though Burp Suite charges money for their services. They have been put to use owing to many advanced features such as,
Features

  • Cutting edge web-app crawler
  • Coverage for more than 100 vulnerabilities
  • Can be used for interactive Application Security Testing (IAST)
  • JavaScript analysis using static and dynamic techniques detection of vulnerabilities within client-side javascript
  • Out-of-band techniques for augmenting conventional scanning methods

We believe that this open-source security testing tool is cardinal when it comes to assessment of software security.  We have also created a pictorial representation (infographic) so that you can get an idea easily

 

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