Predicting component failures at design time

ABSTRACT

How do design decisions impact the quality of the resulting software? In an empirical study of 52 ECLIPSE plug-ins, we found that the software design as well as past failure history, can be used to build models which accurately predict failure-prone components in new programs. Our prediction only requires usage relationships between components, which are typically defined in the design phase; thus, designers can easily explore and assess design alternatives in terms of predicted quality. In the ECLIPSE study, 90% of the 5% most failure-prone components, as predicted by our model from design data, turned out to actually produce failures later; a random guess would have predicted only 33%.

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INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.7 Distribution, Maintenance, and Enhancement
          Subjects: Version control

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.8 Metrics
          Subjects: Product metrics; Process metrics; Complexity measures
      D.2.9 Management
          Subjects: Software quality assurance (SQA)

General Terms:
Management, Measurement, Reliability