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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.

An effective digital testing strategy is paramount to validate the functioning of a product or service and lend credibility to it in the market. It leads to faster identification of glitches and delivers superior user experiences.

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.

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.

The fresh perspective brought by an independent testing services company makes it the best bet to test the functions and processes for digital transformation.

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.

Given the humongous growth in the development of applications, employing right software testing solutions has become necessary from the point of view of ensuring release of better quality applications in the market.