A software testing, performed by human resources, still has its value, but due to artificial intelligence, the process became more productive, quicker, and easier. Some specialists are sure that in the near future the need for manual testing will be eliminated and soon software development will be performed without QA specialists. It’s hard to say for sure whether such point of view is truthful, but one thing is certain: the cooperation of QA professionals and artificial intelligence would take the testing process to the next level. AI will take up the testing advancement, while the human resources will analyze results. We can allocate 4 positive changes, which AI will bring us.
What will AI integration bring to the testers?
Software developers won’t have to spend the time on writing testing scripts. Also there might be no need to examine a wealth of information because AI will perform most of the tasks. A checking will be created without any code writing and will run on the web or smartphone in an automated way. The log file sorting is also regarded as one of the main tasks of AI. As the result, the accuracy in the product will be increased.
It can happen that some testers leave bugs unnoticed due to the lack of time. Many companies can’t risk their reputation and release imperfect product. In such cases it’s important to focus on software testing. Artificial intelligence uses a special set of data for analyzing failures and software functions. With the help of AI, testers are “free” from performing nearly 80% of the repetitive tasks.
“Our intelligence is what makes us human, and AI is an extension of that quality.”
Yann LeCun, a French computer scientist
The world of IT needs creative and dexterous specialists, who are able to use their experience in interacting with the product. A tester has to look at the product through the customer’s comprehension. A tester has to concentrate on possible circumstances customers may deal with when engaging with the software products.
Bugs are able to destroy the user experience, so all of them have to be found and fixed before the product release. When the problem shows up after the app release on the market, questions emerged about the development and testing step. When did the bug become a part of the program? AI tests can find little errors, which might have an influence on the code improving. A new “helper” can check the program and recheck it 24 hours a day.
“I believe this artificial intelligence is going to be our partner. If we misuse it, it will be a risk. If we use it right, it can be our partner.”
Masayoshi Son, a SoftBank founder
Thanks to AI a team of testers can move beyond the traditional route of manual testing models and progressively move forward toward an automated and precision-based continuous testing process. The QA experts have to perceive AI bot as a useful addition, which will reduce the workload and make a tester’s life much easier.