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On the Uncertainty of Technical Debt Measurements
2013
2013 International Conference on Information Science and Applications (ICISA)
Measurements are subject to random and systematic errors, yet almost no study in software engineering makes significant efforts in reporting these errors. Whilst established statistical techniques are well suited for the analysis of random error, such techniques are not valid in the presence of systematic errors. We propose a departure from de-facto methods of reporting results of technical debt measurements for more rigorous techniques drawn from established methods in the physical sciences.
doi:10.1109/icisa.2013.6579461
dblp:conf/icisa/IzurietaGRL13
fatcat:haxsohj7ofhh3giskh3yipexji