Linking Software Design Metrics to Component Change-Proneness
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- Dr Claire Ingram
- Dr Stephen Riddle
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| Author(s) | | Ingram C; Riddle S |
| Editor(s) | | |
| Publication type | | Conference Proceedings (inc. Abstract) |
| Conference Name | | 2nd International Workshop on Emerging Trends in Software Metrics (WeTSOM 2011) |
| Conference Location | | Honolulu, Hawaii, USA |
| Year of Conference | | 2011 |
| Date | | 21-28 May 2011 |
| Volume | | |
| Pages | | 31-37 |
| ISBN | | 9781450305938 |
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| Full text for this publication is not currently held within this repository. Alternative links are provided below where available. |
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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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| Publisher | | ACM Press |
| URL | | http://dx.doi.org/10.1145/1985374.1985384 |
| DOI | | 10.1145/1985374.1985384 |
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| Library holdings | | Search Newcastle University Library for this item |
