New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and ...
Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...
Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...
Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.
Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...
Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
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