One of the recent buzzwords in the software development industry is artificial intelligence. Even though the use of artificial intelligence in software development is still in its infancy, the technology has already made great strides in automating software development. Integrating AI in software testing enhanced the quality of the end product as the systems adhere to the basic standards and also maintain company protocols. In this article, let us have a look at some of the other crucial benefits offered by AI in software testing.
A method of testing that is getting more and more popular every day is image-based testing using automated visual validation tools. Many ML-based visual validation tools can detect minor UI anomalies that human eyes are likely to miss.
Shared automated tests can be used by the developers to catch problems quickly before sending them to the QA team. Tests can be run automatically whenever the source code changes, checked in, and notified the team or the developer if they fail.
Manual testing is a slow process. And every code change requires new tests that consume the same amount of time as before. AI can be leveraged to automate the test processes. AI provides for precise and continuous testing at a fast pace.
AI/ ML tools can read the changes made to the application and understand the relationship between them. Such self-healing scripts observe changes in the application and start learning the pattern of changes and then can identify a change at runtime without you having to do anything.
With software tests being repeated each time source code is changed, manually happening those tests can be not only time-consuming but also expensive. Interestingly, once created – automated tests can be executed over and over, with zero additional cost at a much quicker pace.
The future of artificial intelligence and machine learning is bright. AI and its adjoining technologies are making new waves in almost every industry and will continue to do so in the future.
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