A quantitative approach for ranking change risk of component-based software

Authors:
Chengying Mao
Affiliations:
School of Software, Jiangxi University of Finance and Economics, Nanchang, China and School of Management, Huazhong University of Science and Technology, Wuhan, China
Venue:
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Year:
2007

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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.