Effects of the number of developers on code quality in open source software: a case study

Authors:
Brandon Norick;Justin Krohn;Eben Howard;Ben Welna;Clemente Izurieta
Affiliations:
Montana State University, Bozeman, MT;Montana State University, Bozeman, MT;Montana State University, Bozeman, MT;Montana State University, Bozeman, MT;Montana State University, Bozeman, MT
Venue:
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Year:
2010

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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.