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130830   stephane bunod - impact of code ownership on antipatterns
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130830 stephane bunod - impact of code ownership on antipatterns

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Software developers, code ownership, anti-patterns

Software developers, code ownership, anti-patterns

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  • 1. IMPACT OF CODE OWNERSHIP ON ATIPATTERNS Stéphane BUNOD Engineering school student at Polytech’Montpellier 3 month internship Supervisor : Foutse KHOMH
  • 2. OUTLINE  Context  Goal  Implementation  Results  Conclusion  Personal experience
  • 3. CONTEXT  Foutse’s research interests  Developping techniques and tools to assess the quality of systems  Design patterns, design defects : their impact on the quality of systems and their evolution in systems  Foutse “Antipatterns are more fault prone” . 2012  Christian Bird. Don’t Touch My Code! Examining the Effects of Ownership on Software Quality. 2011
  • 4. GOAL
  • 5. IMPLEMENTATION – EXISTING WORK  Previous work from Francis NAHM:  List of AntiPatterns for each version of the Argouml project (APs example : ComplexClass, LongMethod, LongParameterList)
  • 6. IMPLEMENTATION – COLLECT  Collect information about the Argouml project:  SVN log
  • 7. IMPLEMENTATION – WHAT IS INTERESTING IN « SVN LOG »
  • 8. IMPLEMENTATION – KEEP INTERESTING INFORMATION  Get the list of contributors  Get the date of commits  Get the files/classes that had been modified
  • 9. IMPLEMENTATION – EVALUATE MAJOR CONTRIBUTOR RATE Major contributor: A developer who has made changes to a component and whose ownership is at or above X% is a major contributor to the component and a commit from such a developer is a major contribution. 3rd quartile of all contributors statistics on each classes : 71%
  • 10. IMPLEMENTATION – ADD INFORMATION OF MC ON EACH VERSION  Know the kind of contributor for each version on each class.  Add it beside the number of AntiPatterns on each version of each class.
  • 11. IMPLEMENTATION – WHAT THE CSV LOOKS LIKE
  • 12. IMPLEMENTATION – METHOD TO ESTIMATE THE EVOLUTION OF A CLASS List of the occurrence of AntiPatterns for each class. Example: [5, 3, 4, 4, 1, 2, 5] [0]: A-A-A-A-A-S [1]: D-D-A-A-D [2]: S-A-A-D [3]: A-A-D [4]: D-D [5]: D A = 11 ; D = 8 ; S = 2  A > D > S  This class is considered to have a global amelioration tendency
  • 13. IMPLEMENTATION – DIFFERENT CATEGORIES OF LIST  Classes with only Major Contributor (MC) on each version of the project.  Classes without any MC.  Classes with a MC, only on the first version.  Classes with a developer who becomes MC after few versions without any.  Classes where there is no longer MC after few versions with a MC.
  • 14. RESULTS Only MC No MC Only MC on the 1st version Stable 58% 73,63% 74,40% 87,13% 79,18% Amelioration 24% 11,55% 7,76% 1,98% 14,46% Degradation 18% 14,82% 20,84% 10,89% 6,36% Become MC No longer MC
  • 15. CONCLUSION Linus Law. “Given a large enough developers, almost every problem will be characterized quickly and the fix will be obvious to someone“  AntiPatterns have the same characteristics of Bugs correlate with ownership.  Of course, this work should be reproduced on other projects.
  • 16. PERSONAL EXPERIENCE  Lab experience  Met new people  Learnt Python language (enjoyed coding for once)  Not sure I would be a good researcher ^^