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

Published:16 September 2010Publication History

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.

References

  1. Stamelos, I., Angelis, L., Oikonomou, A., and Bleris, G. L. "Code Quality Analysis in Open Source Software Development," Info Systems Journal, vol 12, pp. 43--61, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  2. Prasad, L. and Nagar, A. "Experimental Analysis of Different Metrics (Object-oriented and Structual) of Software," 2009 First International Conference on Computational Intelligence, Communication Systems and Networks, pp. 235--240, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Simmons, M. M., Vercellone-Smith, P., and Laplante, P. A. "Understanding Open Source Software through Software Archaeology: The Case of Nethack," 30th Annual IEEE/NASA Software Engineering Workshop SEW-30. pp. 47--58, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

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

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      cover image ACM Conferences
      ESEM '10: Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
      September 2010
      423 pages
      ISBN:9781450300391
      DOI:10.1145/1852786

      Copyright © 2010 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 September 2010

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      Acceptance Rates

      ESEM '10 Paper Acceptance Rate30of102submissions,29%Overall Acceptance Rate130of594submissions,22%

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