Automating Impact Analysis and Regression Test Selection Based on UML Designs

نویسندگان

  • Lionel C. Briand
  • Yvan Labiche
  • G. Soccar
چکیده

This paper presents a methodology and tool to support test selection from regression test suites based on change analysis in object-oriented designs. We assume that designs are represented using the Unified Modeling Language (UML) and we propose a formal mapping between design changes and a classification of regression test cases into three categories: Reusable, Retestable, and Obsolete. We provide evidence of the feasibility of the methodology and its usefulness by using our prototype tool on an industrial case study and two student projects.

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تاریخ انتشار 2002