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- W2101310219 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." @default.
- W2101310219 created "2016-06-24" @default.
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- W2101310219 date "2012-06-03" @default.
- W2101310219 modified "2023-09-26" @default.
- W2101310219 title "Using early stage project data to predict change-proneness" @default.
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- W2101310219 doi "https://doi.org/10.5555/2669379.2669387" @default.
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