Aryani, Amir; Peake, Ian D; Hamilton, Margaret
Change propagation has mainly been estimated by maintenance history or source code analysis. However, sometimes history and code are inaccessible, or impractical to analyse, such as for heterogeneous sources. Previously we hypothesised that change propagation from modifying domain level components may be predicted purely from information available to domain users. We proposed domain-based change propagation analysis, enabling analysts and domain experts to predict conceptual coupling...[Show more]
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