2010•Unpublished venueRequires access

Effects of the number of developers on code quality in open source software

Brandon Norick, Justin Krohn, Eben Howard, Ben Welna, Clemente I. Izurieta

Open publisher page 15 citations

Abstract

Eleven open source software projects were analyzed to determine if the number of committing developers impacts code quality. We use cyclomatic complexity, lines of code per function, comment density, and maximum nesting as surrogate measures of code quality. We find no significant evidence to suggest that the number of committing developers affects the quality of software.

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What this paper is about

Eleven open source software projects were analyzed to determine if the number of committing developers impacts code quality. We use cyclomatic complexity, lines of code per function, comment density, and maximum nesting as surrogate measures of code quality. We find no significant evidence to suggest that the number of committing developers affects the quality of software.

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OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Eleven open source software projects were analyzed to determine if the number of committing developers impacts code quality. We use cyclomatic complexity, lines of code per function, comment density, and maximum nesting as surrogate measures of code quality. We find no significant evidence to suggest that the number of committing developers affects the quality of software.

Key concepts: Cyclomatic complexity, Software quality, Computer science, Source lines of code, Quality (philosophy), Code (set theory), Open source software, Source code

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