testRigor Blog

Weekly QA Testing Knowledge

Machine Learning to Predict Test Failures

With the introduction of Artificial Intelligence and Machine Learning, technology has advanced significantly. We are currently using machine learning algorithms to predict failures in test execution. This is achieved by developing and deploying models that learn the historical test execution result and then expect the potential shortcomings in the application. With this approach, we can …

Cross-Device Testing: Strategies and Tools

Before a decade ago, people only accessed the Internet via desktop browsers, and the options available on the Internet were ...

Continuous Deployment with Test Automation: How to Achieve?

What is Continuous Deployment (CD)? Continuous deployment (CD) is an automated software release strategy where any code change ...

How to Achieve HIPAA Compliance?

“Healthcare is becoming part of information technology.” – Bill Maris One area where we can see a vast advancement in ...

How to Increase Engineering Output Using AI

“Once you have mastered time, you will understand how true it is that most people overestimate what they can accomplish in ...
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