Using Early Stage Project Data to Predict 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 | | 2012 |
| Date | | March 2012 |
| Report Number | | 1321 |
| Pages | | 12 |
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| Full text is available for this publication: |
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| Several previous studies have suggested methods for predicting change-proneness based on software complexity metrics. We hypothesise that data from the early stages of a development project such as requirements and design could also be used to make such predictions. We define here a set of new metrics to capture data from the requirements and/or design stages, and derive values for these metrics using a case study project. We do find that significant differences in change-proneness can be detected between components with high or with low values for our metrics, suggesting that this is an area which would benefit from further study. |
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| Institution | | School of Computing Science, University of Newcastle upon Tyne |
| Place Published | | Newcastle upon Tyne |
| Actions | |  |
