kaal:claim:3995709-010

Organizational metrics, such as the number of developers working on a component, organizational distance between developers, and organizational code ownership, are better predictors of defect proneness than traditional metrics like churn, complexity, coverage, dependencies, and pre release bug measures.

Source quote, verbatim

including the number of developers working on a component, organizational distance between developers, and organizational code ownership, are "better predictors of defect-proneness than traditional metrics like churn, complexity, coverage, dependencies, and pre-release bug measures."45

From

Wulf A. Kaal, How DAOs Optimize Open-Source Code Reviews and Create Open-Source Standards (2021), Organization, p. 11
https://ssrn.com/abstract=3995709 · source PDF

Cite as

Wulf A. Kaal, How DAOs Optimize Open-Source Code Reviews and Create Open-Source Standards (2021). SSRN: https://ssrn.com/abstract=3995709

Holds when

large organization software development

Classification

empiricalsupport: evidencedinstitutional-designopen-source-and-code

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