Author(s): Ingram C, Riddle S
Abstract: 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.
Keywords: Change-proneness, early stage project, design, requirements, volatility, prediction
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Dr Claire Ingram
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Dr Stephen Riddle
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