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To ensure the quality of the software product, software quality assurance is conducted comprising activities like planning, setting up the metrics, formal technical reviews, setting up multiple testing strategies, change control, report and documentation.

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.

Artificial Intelligence and machine learning can help address the growing complexity associated with QA by writing and executing automated codes and predicting the users’ needs.

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.

A TCoE helps to optimize the QA processes to add value to the Software Testing, Quality Assurance, and Software Development. This blog post focuses on the value a TCoE can bring for enterprises.