The influence of AI on software testing has been transformative, developing from automation to intelligent Quality Assurance (QA) processes. AI-powered tools can analyze complicated code structures, identify patterns, and predict potential issues, supporting proactive testing tactics. As AI continues to advance, its impact on software testing is expected to further improve software quality and accelerate the development process. Read the blog to understand the impact of AI on software testing to realize automation and intelligent QA. The post The Impact of AI on Software Testing: From Automation to Intelligent QA appeared first on Calsoft Blog.

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