Using Early Stage Project Data to Predict Change-Proneness

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  2. Dr Claire Ingram
  3. Dr Stephen Riddle
Author(s)Ingram C, Riddle S
Publication type Report
Series TitleSchool of Computing Science Technical Report Series
Year2012
DateMarch 2012
Report Number1321
Pages12
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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.
InstitutionSchool of Computing Science, University of Newcastle upon Tyne
Place PublishedNewcastle upon Tyne
URLhttp://www.cs.ncl.ac.uk/publications/trs/papers/1321.pdf
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