Case Study


21 Jun 2020
Manuel Perez Prada


One of the trends that started this past decade, which is expected to continue, is the use of AI to enhance existing tools and frameworks that target specific testing problems.

Examples at this time include functional testing of web and mobile applications, visual testing of user interfaces, and UI element location and auto-correcting element selectors. Beyond this we should expect to see AI starting to replace entire technology stacks for automated testing. At all testing levels, AI will take over automation tasks that require decisions that a human could make in less than a second. Initially, higher order testing tasks may still require human input or intervention. These Future is noware the tasks which require a bit more thought such as test generation, usability testing, security testing, and edge cases.

However, over time as technology progresses, and as the machines are trained on the actions of these higher order tasks, AI is likely to take over those activities as well and tackle problems that require deeper context. The image below depicts this progression of the AI testing singularity as we move into the next decade


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