Linking software design metrics to component change-proneness

  • Authors:
  • Claire Ingram;Steve Riddle

  • Affiliations:
  • Newcastle University, Newcastle upon Tyne, United Kingdom;Newcastle University, Newcastle upon Tyne, United Kingdom

  • Venue:
  • Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
  • Year:
  • 2011

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Abstract

One technique from value-based software engineering involves prioritising the system and selectively applying time-consuming techniques (such as traceability) in order to maximise return on investment. This prioritisation could be based on predicted change-proneness of code modules, if a sufficiently accurate prediction can be achieved. Several previous studies have examined links between software change-proneness and software metrics such as size and complexity. However, conclusions differ as to the strength of the relationships. We present here a new case study project, extracting a range of complexity values from the code modules and testing for the existence of a significant link between change-proneness and complexity. We find only limited evidence of a linear relationship, but analysis using other statistical techniques does reveal some other significant links.