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.
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.
- 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.
- 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.
Conclusion:
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.