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Technical Debt Measurement/证据
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Technical Debt Measurement

Technical debt represents accumulated shortcuts, deferred maintenance, and design compromises that incur future costs through slower development, higher defect rates, and deployment difficulty. Introduced by Ward Cunningham (1992), technical debt measurement quantifies these burdens using metrics like code complexity, duplication, test coverage gaps, and maintainability indices. Organizations use debt measurement to balance immediate delivery with long-term sustainability.

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源记录

引文逐字复制自方法源记录。这些引文不代表任何层级的验证。

Technical Debt Quantification and Assessment
分类方法记录 · process-pipeline / software-engineering
  • Cunningham, W. (1992). The WyCash Portfolio Management System. OOPSLA 92 Experience Report. · URL
  • Seaman, C. B., & Guo, Y. (2011). Measuring and monitoring technical debt. Advances in Computers, 82, 25–46. · DOI 10.1016/B978-0-12-385512-1.00002-5
  • Tom, E., Aurum, A., & Vidgen, R. (2013). An exploration of technical debt. Journal of Systems and Software, 86(6), 1498–1516. · DOI 10.1016/j.jss.2012.12.052
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Same method familyCode Coverage Analysismachine-suggested · Relational suggestion, not evidence.Same method familyDefect Prediction Modelmachine-suggested · Relational suggestion, not evidence.Same method familySoftware Complexity Metricsmachine-suggested · Relational suggestion, not evidence.Same method familyStatic Code Analysismachine-suggested · Relational suggestion, not evidence.

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