What’s Our Job When The Machines Do Testing?
summary
Claims that connect to code and results: teams build analytics and ML models that run today as smart assistants and bots, including Jarvis for test-history analytics, duplicate defect prediction that flags repeat failures, and a Q configuration planning model that narrows choices from an estimated 465 trillion configurations to a few hundred sensible tests. Tools mentioned include Test ai and PinkLine AI, timelines place quick checks already automated, thoughtful tasks in five to seven years, and deep contextual testing toward 2027, with data cleansing and stakeholder buy-in as the practical hurdles.
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