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Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Analýza funkčních bodů×Metriky složitosti softwaru×
OborSoftwarové inženýrstvíSoftwarové inženýrství
RodinaProcess / pipelineProcess / pipeline
Rok vzniku19791976
TvůrceAllan AlbrechtThomas J. McCabe
Typquantitative measurementquantitative measurement
Původní zdrojAlbrecht, A. J. (1979). Measuring application development productivity. In Proceedings of the IBM Applications Development Symposium (pp. 83–92). link ↗McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320. DOI ↗
Další názvyFPA, function points, IFPUG sizingcode complexity analysis, complexity measurement
Příbuzné44
ShrnutíFunction point analysis (FPA) quantifies software size by counting business functions and user interactions independent of technology or programming language. Introduced by Albrecht (1979), FPA measures delivered functionality, enabling effort estimation, productivity benchmarking, and software value assessment. Organizations use FPA for project contracts, vendor comparison, and portfolio management.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.
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ScholarGatePorovnat metody: Function Point Analysis · Software Complexity Metrics. Získáno 2026-06-15 z https://scholargate.app/cs/compare