Abstract
The rapid evolution of component-based software brings great challenges to its maintenance in the later phase, so it is quite necessary to measure the risk its changes bring to the whole system. Through redefining the component dependency graph, the paper presents a two-step approach to assess the change risk of component-based software (CBS), which results from the partial changes of components in system. After obtaining the change risk of single component, we transform the component dependency graph to a component dependency tree, and then calculate the change risk of the whole CBS according to paths in the tree. In addition, a case study is made to illustrate how the technique works. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Mao, C. (2007). A quantitative approach for ranking change risk of component-based software. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4707 LNCS, pp. 92–103). Springer Verlag. https://doi.org/10.1007/978-3-540-74484-9_9
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