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Metriky složitosti softwaru×Statická analýza kódu×
OborSoftwarové inženýrstvíSoftwarové inženýrství
RodinaProcess / pipelineProcess / pipeline
Rok vzniku19762001
TvůrceThomas J. McCabeDavid Engler and William Pugh
Typquantitative measurementautomated analysis
Původní zdrojMcCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320. DOI ↗Chess, B., & West, J. (2007). Secure Programming with Static Analysis. Addison-Wesley Professional. link ↗
Další názvycode complexity analysis, complexity measurementstatic analysis, code inspection, automated review
Příbuzné44
ShrnutíSoftware complexity metrics quantify the structural and operational difficulty of code through numerical measurements. Introduced by Thomas McCabe in 1976, cyclomatic complexity became the foundational approach. These metrics assess maintainability, testability, and defect risk, enabling teams to identify problematic code regions and guide refactoring efforts.Static code analysis automatically examines source code without execution, detecting potential bugs, security vulnerabilities, code smells, and style violations. Pioneered by Engler and Pugh (2001), automated analysis tools scan codebases at scale, identifying defect patterns faster than manual review. Organizations integrate static analysis into continuous integration pipelines to prevent defects early.
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ScholarGatePorovnat metody: Software Complexity Metrics · Static Code Analysis. Získáno 2026-06-15 z https://scholargate.app/cs/compare