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The article explains the importance of measuring software architecture, outlines the granularity of metrics from code to infrastructure, and provides concrete measurement indicators for code implementation, component design, architecture design, and runtime infrastructure to guide effective architecture governance.
The article explains the purpose of software metrics, warns against measuring individual performance and isolated indicators, and outlines key agile testing metrics such as code coverage, acceptance test pass rate, defect density per story point, and automation rate to help teams track progress toward quality goals.
The article uses a humorous story about two development teams manipulating KLOC defect rates to illustrate Goodhart's law and the McNamara fallacy, then presents a comprehensive set of software quality metrics and guidelines for selecting meaningful measurements that truly improve product quality.