Testaify, Inc.’s Post

In this Part 2 analysis of the AI software testing market, Rafael E. Santos explores various AI/ML approaches for automated test design, such as model authoring, user journey monitoring, and NLP requirements ingestion, highlighting their limitations and challenges. Rafael notes that these methods often rely on incomplete or outdated models. Some methods are incremental improvements that fail to address fundamental testing issues. Is there a path forward? Can the software testing industry successfully deal with the enormous challenge of significantly improving software testing through AI? You'll have to catch Part 3 to find out! #artificialintelligence #softwaretesting #qualityassurance #qa #sdlc #softwaredevelopment https://lnkd.in/eAh6B6XC

The AI Software Testing Market, Part II

The AI Software Testing Market, Part II

testaify.com

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