Currently AI is used to detect the anomalies and perform root cause analysis in an automated way for functional, performance, and load testing. Computer vision template recognition, speech to text/ NLP are already in use to speed-up the authoring, execution, and maintenance of automated tests. This paradigm shift in software testing gives birth to a new set of ethical, stochastic, and speculative concerns that come with unique solutions. Successful orchestration and integration of robotics, IoT, and quantum computing with the current AI-ML ecosystem pave the road ahead.
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