ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

Function Point Analysis×Ohjelmistokompleksisuusmittarit×
TieteenalaOhjelmistotekniikkaOhjelmistotekniikka
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi19791976
KehittäjäAllan AlbrechtThomas J. McCabe
Tyyppiquantitative measurementquantitative measurement
AlkuperäislähdeAlbrecht, 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 ↗
RinnakkaisnimetFPA, function points, IFPUG sizingcode complexity analysis, complexity measurement
Liittyvät44
TiivistelmäFunction 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.
ScholarGateAineisto
  1. v1
  2. 3 Lähteet
  3. PUBLISHED
  1. v1
  2. 3 Lähteet
  3. PUBLISHED

Siirry hakuun Download slides

ScholarGateVertaile menetelmiä: Function Point Analysis · Software Complexity Metrics. Haettu 2026-06-15 osoitteesta https://scholargate.app/fi/compare