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Software quality assurance is not the same anymore but has become an integral part of the development sprint. It has incorporated features like test automation, the use of AI and others to address the challenges of software development.

AI tools can significantly enhance the level of software quality assurance leading to better test outcomes. They should be chosen with due care to achieve QA and cost optimization.

Software quality assurance should be robust enough to identify glitches and meet the customer experience. It should be suitably redefined to incorporate the latest methodologies and technologies.

The complexity surrounding software quality assurance is increasing by the day. AI can help in optimizing the processes leading to better quality products and realization of ROI.