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Rethinking Our Job as Software Testers: We Should Try to Test as Little as Possible Rethinking Our Job as Software Testers: We Should Try to Test as Little as Possible

DevOps transforms testing from finding all bugs to prioritizing critical ones. Risk assessment helps testers focus on high-impact areas. Testing can be pre-release (critical issues), post-release (resolvable issues), or out-of-scope (low-impact). Testing should align with business goals and user stories. Data science helps measure and improve software quality.

Joel Montvelisky's picture Joel Montvelisky
The Growing Role of AI in DevOps

All around us, we are seeing a growing trend of artificial intelligence (AI) being implemented in every aspect of our lives—from self-driving cars to intelligent chatbots. But what about the world of DevOps? Has AI come to play a role here as well? The growing role of AI in DevOps has unearthed some key benefits it can bring to many DevOps workflows.

Jenelle Fulton-Brown's picture Jenelle Fulton-Brown
Continuous Testing with Self-Healing: Why Is It Important? Continuous Testing with Self-Healing: Why Is It Important?

Adopting a machine learning-driven self-healing technique in test automation can prevent flaky tests, reduce test failures, and save time on code maintenance. Self-healing is one of the essential factors for successfully performing continuous testing in the DevOps model.

Shanthi Karpurapu's picture Shanthi Karpurapu
Too Much Automation Too Much Test Automation

Test automation can reach a point at which it is no longer supporting organizational goals. Martin Ivison examines four key causes for this unhealthy state and finds out that carefully chosen metrics and a holistic, adaptive, and risk-driven approach go a long way to prevent and remedy this problem.

Martin Ivison's picture Martin Ivison

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