Usporedite metode

	Metrike složenosti softvera	Statička analiza koda
Područje	Programsko inženjerstvo	Programsko inženjerstvo
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	1976	2001
Tvorac	Thomas J. McCabe	David Engler and William Pugh
Vrsta	quantitative measurement	automated analysis
Temeljni izvor	McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320.	Chess, B., & West, J. (2007). Secure Programming with Static Analysis. Addison-Wesley Professional.
Drugi nazivi	code complexity analysis, complexity measurement	static analysis, code inspection, automated review
Srodne	4	4
Sažetak	Software 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.