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Technical Debt Measurement/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Technical Debt Quantification and Assessment
Taxonomic method record · 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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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

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.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

3 recorded citations, copied from the method source record.

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