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功能点分析×软件复杂度度量×
领域软件工程软件工程
方法族Process / pipelineProcess / pipeline
起源年份19791976
提出者Allan AlbrechtThomas J. McCabe
类型quantitative measurementquantitative measurement
开创性文献Albrecht, 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 ↗
别名FPA, function points, IFPUG sizingcode complexity analysis, complexity measurement
相关44
摘要Function 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.
ScholarGate数据集
  1. v1
  2. 3 来源
  3. PUBLISHED
  1. v1
  2. 3 来源
  3. PUBLISHED

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ScholarGate方法对比: Function Point Analysis · Software Complexity Metrics. 于 2026-06-15 检索自 https://scholargate.app/zh/compare