A Model-Based Framework to Support Complexity Analysis Service for Regression Testing of Component-Based Software

Today, software components have been widely used in software construction to reduce the cost of project and speed up software development cycle. During software maintenance, various software change approaches can be used to realize specific change requirements of software components. Different change approaches lead to diverse regression testing complexity. Such complexity is one of the key contributors to the cost and effectiveness of software maintenance. However, there is a lack of research work addressing regression testing complexity analysis service for software components. This paper proposes a framework to measure and analyze regression testing complexity based on a set of change and impact complexity models and metrics. The framework can provide services for complexity modeling, complexity factor classification, and regression testing complexity measurements. The initial study results indicate the proposed framework is feasible and effective in measuring the complexity of regression testing for component-based software.