# kaal:claim:3995709-010

**Claim.** 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.

**Type.** empirical  **Support.** evidenced

**Holds when.**

- large organization software development

**Source quote.**

> 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, page 11

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

**Verify.** sha256 of source PDF `6d77dbfb15ee86080bfde0b98089180cabafeb6defdf0f05eaaeb3cb99871e89` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202021%20-%20How%20DAOs%20Optimize%20Open-Source%20Code%20Reviews%20and%20Create%20Open-Source%20Standards.pdf

**Topics.** institutional-design, open-source-and-code

**Keywords.** organizational-structure, defect-proneness, conways-law, software-quality

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