Linking Software Design Metrics to Component Change-Proneness
- Lookup NU author(s)
- Dr Claire Ingram
- Dr Stephen Riddle
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| Author(s) | | Ingram C; Riddle S |
| Publication type | | Report |
| Series Title | | School of Computing Science Technical Report Series |
| Year | | 2011 |
| Date | | June 2011 |
| Report Number | | 1257 |
| Pages | | 10 |
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| Full text is available for this publication: |
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| 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. |
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| Institution | | School of Computing Science, The University of Newcastle upon Tyne |
| Place Published | | Newcastle upon Tyne |
| Actions | |  |
