Measuring Productivity: All Models Are Wrong, But Some Are Useful

Measuring productivity is equivalent to building a model. All models are wrong, but some are useful. Productivity models are often “worryingly selective” (wrong because of omissions). Worrying selectivity can be combated by taking a holistic approach that includes multiple measurements of multiple o...

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Bibliographic Details
Published inIEEE software Vol. 42; no. 2; pp. 13 - 17
Main Authors Jaspan, Ciera, Green, Collin
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.03.2025
IEEE Computer Society
Subjects
Measurement
Modeling
Productivity
Selectivity
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Summary:Measuring productivity is equivalent to building a model. All models are wrong, but some are useful. Productivity models are often “worryingly selective” (wrong because of omissions). Worrying selectivity can be combated by taking a holistic approach that includes multiple measurements of multiple outcomes. Productivity models should include multiple outcomes, metrics, and methods.
Bibliography:ObjectType-Article-1
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ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2024.3511735