• DocumentCode
    1230171
  • Title

    Do Crosscutting Concerns Cause Defects?

  • Author

    Eaddy, Marc ; Zimmermann, Thomas ; Sherwood, Kaitlin D. ; Garg, Vibhav ; Murphy, Gail C. ; Nagappan, Nachiappan ; Aho, Alfred V.

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY
  • Volume
    34
  • Issue
    4
  • fYear
    2008
  • Firstpage
    497
  • Lastpage
    515
  • Abstract
    There is a growing consensus that crosscutting concerns harm code quality. An example of a crosscutting concern is a functional requirement whose implementation is distributed across multiple software modules. We asked the question, "How much does the amount that a concern is crosscutting affect the number of defects in a program?" We conducted three extensive case studies to help answer this question. All three studies revealed a moderate to strong statistically significant correlation between the degree of scattering and the number of defects. This paper describes the experimental framework we developed to conduct the studies, the metrics we adopted and developed to measure the degree of scattering, the studies we performed, the efforts we undertook to remove experimental and other biases, and the results we obtained. In the process, we have formulated a theory that explains why increased scattering might lead to increased defects.
  • Keywords
    data mining; software engineering; code quality; crosscutting concerns; software modules; statistically significant correlation; Correlation and regression analysis; Distribution Maintenance and Enhancement; Metrics/Measurement; Quality analysis and evaluation; Software Construction; Software Engineering; Software Quality/SQA; User/Machine Systems; Validation;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/TSE.2008.36
  • Filename
    4527257