Getting ahead in automation disruption with AI in quality assurance

Bugs or defects which are introduced during the app exploration phase can be easily identified using Artificial Intelligence. Better test coverage and great accuracy are the key benefits of using the AI testing tools for the Quality Assurance teams.

Artificial Intelligence is today considered to be the turning point for the next revolution. AI helps us avoid going through thousands of lines of codes, and will be able to sort through the log files, detect errors within seconds and scan the codes. Humans might experience fatigue, but this is not the case with AI and thus will yield better and more accurate results. It also enables us to understand what contributed to the success of certain apps in the market and hence new test cases can be made specifically to fill the market gap. A lot of Quality Assurance Experts’ time is wasted in the planning of test case scenarios, which can be offered to AI test automation tools thus saving a lot of time.

Although it promises so many advantages AI as a skill is still at a nascent stage. AI also requires QA experts to up their skills in business intelligence, math optimization, and algorithmic analysis.