AI and Bots: Are They The Future of Software Testing?

Software testing has taken an indispensable place with the increasing complexities of the software.
With the rising complexities, new software technologies, ever rising data, software testing is now taking an entirely new dimension. In such a scenario Bots and AI are gradually taking over the manual testing.

But does that means Bots and AI will wipe out testing jobs? Not at all, they will only change how the complete testing process completes.
The information and knowledge regarding AI and bots is quickly increasing with the growing usage of robotics and AI.
And gradually they are taking over the manual efforts in many fields including software testing.
And it is because robotics and artificial intelligence are cost-proficient, easy to use, and time-productive.
When it comes to machine learning in software testing and developments, bots can be much more easily and quickly trained compared to people.
Bots and AI involvement in Software Testing and Development
Bots and AI are predicted to rule the software testing world soon. They have affected the proficiency of software development and testing in many terms.

  1. Testing Scope and Workloads

It is a common practice to add new features to the software. As new features are introduced, the new code is added.
This code further requires software testing to ensure proper working.
This testing sometimes requires creating and running a new set of test cases and sometimes it even demands a rerun of the existing test cases to ensure the new functionality has not altered or affected the existing functionality.

This adds up to the workload of testers and also increases the testing scope.
AI robot can easily recreate the tests to integrate new parameters and can also run parallel tests without adding the workload to the tester.

  1. Debugging Capability

AI and bots can tirelessly work for 24 by 7. They are great when the test cases list is long, or when testing on disturbed systems, etc.
In short, they are very viable on running time-consuming test cases, which would otherwise be tiring for the testers.
They viably expand the time for which test cases can be run without requiring human intervention.
It reduces human efforts by running test cases without human efforts and letting the testers to only inspect the test results and resolve the issues if any.

  1. Advanced Continuous Testing

Continuous testing can enhance the quality of your software. Continuous testing helps report abnormalities clean-up infested information.
But carrying out repeated testing is not a viable option for human testers.
But this task can be very well carried out by bots and AI, resulting in enhanced software quality.

Now vs. Future of AI and bots in Software Testing.
Currently, AI and bots are confined to search for defects only in dedicated parts.
They are not yet tuned to go beyond it and test for bugs in any newly added component.
In the future with more advanced bots and AI, it might discover changes in even the minimal changes in the system.
It would interpret the client’s expectations and produce numerous test cases based on it in minimal time, much faster than human efforts. Currently, AI capability in this aspect is quite limited.
Though we can’t predict what actually AI holds, its capability will definitely see a rise.

Know More: Quality Assurance VS Quality control

The AI and bots can go far beyond our expectations and can take software testing to a completely new standard. What that cannot be expected today might be a reality of tomorrow.
AI and bots have a significant role in the current scenario of software testing.
They have definitely made testing much easier, and quicker. But with advancements made in the field of AI and bots, we will soon see AI and bots taking over the complete software testing, with human intervention required only in managing these bots.

AI and bots have amazed us enough with their amazing capabilities. But what they still have in store for us cannot be predicted at the moment.
The time is not far away when AI and bots will take over all the manual efforts in software testing. Software testing will soon be easier, cost-efficient and time-efficient using AI and bots.

How AI will Change the Software Testing

Software testing has always been an integral part to the success of any product in the market. Be it a newly launched product or the latest version of the existing product, it is important for companies to make sure that each of its product passes through a stringent quality test to make sure that it meets the set standards.

Gone are the days when companies used to rely on manual testing. With the advancement in technology, the companies have almost switched completely to the automated mode of testing.
And, now the day is here when more and more companies will be seen using artificial intelligence (AI) in its software testing process.
AI has become the new buzzword as more and more companies are getting increasingly dependent on machines and computers to perform tasks that would have otherwise been performed only by humans.
This form of intelligence has simplified a lot of tasks and one of those is testing. All one needs to do now is feeding the computer with the required data, setting the required logic and simply running the testing process.
Shortcomings of Manual Testing
Although considered to be a reliable form of testing, manual testing has its own cons. These, in turn, reduce the efficiency and performance of the entire process. Some of the common issues of using manual testing are:

  • Time-consuming.
  • Limited testing scenarios.
  • Limited possibility of testing manual/automation scenarios.
  • Maintaining the code as per QA trends.
  • Lack of automation

Benefits of AI in Software Testing
 Incorporating AI in software testing is an apt decision as doing so will not only save a lot of time and labour but also will benefit in a number of other ways like:
1. Better Quality:
Using AI in software testing after the process of development not only saves time but also helps in ensuring better quality. It predicts, prevents as well as automates the entire process of testing using self-learning algorithms.
AI will not only support and improve the requirements models and test cases but also provide more sophisticated and refined form of text recognition and better code generators.
2. Quick and Reliable:
Using AI in the software testing process will save a lot of time of the development team. This is because using AI helps in delivering quick and faster results that are also reliable for the team.
Using AI will not only allow the team to use data to develop better projects but will also help them prevent any sort of repetition of errors done in the past.
3. Early Feedback:
Automating the entire testing process not only saves a lot of time but also helps the developers in collecting quick feedback. Collecting early feedback helps in ensuring that the bugs are fixed quickly and the better product is soon launched in the market.
Using AI will also allow the team to spot any or all sorts of bugs that might have occurred during the previous development process and avoid the same so as to ensure the delivery of a better performing product.
4. Traceability:
Since everything is stored on a machine, it becomes easier for the developers, testers and other team members to quickly trace and access the details of any testing process that has been executed.
Whether it is about missing a test case or identifying a dead case, all is possible with ease using AI.
5. Integrated Platform:
This type of testing uses one integrated platform and is also adaptable to client technology landscape. Having one single integrated platform makes this process a reliable process to execute a test.
Since the projects are built on open source stack making the project flexible and agile, cost effective and secure, AI testing can be executed much more smoothly.
6. Script Automation:
Using AI will end the need of creating a test design or automating a test script. This is because all this will be done and executed automatically by the AI algorithm.
With AI, it gets easier for the system to go through the log files as well as improve the test planning and coverage of the system.
Apart from testing, AI will also make developers as well as applications smarter. Using AI will make developers and applications smart in the following ways:

  • Quick turning of an idea into a code using better code generators.
  • Precise estimation of time lines.
  • Quick identification of bugs and effective remedies.
  • Automated decision-making about the next step of development and testing.
  • Enable quick and easy human interaction.
  • Applications capable of learning on their own.

However, it is true that AI has an ability to simplify a lot of tasks. But, it is important to find a balance between the role of a machine and human.
Being completely dependent on any of the two might hamper the productivity as well as performance. Therefore, the best way out is to find a way in which both machine and humans can exist simultaneously, delivering maximum results.