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Vision AI and how testRigor uses it

Automation testing has evolved to the extent that automation tools are now leveraging advanced AI techniques to enhance, optimize, and streamline the software testing process. Traditional automation focuses mainly on automating predefined manual test cases. However, with the integration of AI, the tools use machine learning algorithms, natural language processing (NLP), computer vision, and other …

Hari Mahesh

10 Quality Myths Busted

“Quality is never an accident; it is always the result of intelligent effort.” There are many opinions about what QA ...
Anushree Chatterjee

QA from Engineering Leader’s Perspective

As an engineering leader or an executive at a director level of above, one generally has to be responsible for the delivery of ...
Artem Golubev

Top 20 Metrics for CIO

“A successful CIO needs to be more business-oriented, think of IT as a strategic enabler, and communicate effectively with ...
Pragya Yadav

Metrics for QA Manager

In software development, ensuring high-quality software products is necessary. The role of a Quality Assurance (QA) Manager is ...
Hari Mahesh

Metrics for Engineering Manager

Engineering Managers play a critical role in technical execution and people management. They ensure the teams are productive, ...
Hari Mahesh

Metrics for Director of Engineering

The role of a Director of Engineering is multibranched including different responsibilities like leadership, strategic planning, ...
Hari Mahesh
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