Using traceability to support model-based regression testing

  • Authors:

  • Leila Naslavsky;Debra J. Richardson

  • Affiliations:

  • University of California, Irvine, Irvine, CA;University of California, Irvine, Irvine, CA

  • Venue:
  • Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
  • Year:
  • 2007

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Abstract

Model-driven development is leading to increased use of models in conjunction with source code in software testing. Model-based testing, however, introduces new challenges for testing activities, which include creation and maintenance of traceability information among test-related artifacts. Traceability is required to support activities such as selective regression testing. In fact, most model-based testing automated approaches often concentrate on the test generation and execution activities, while support to other activities is limited (e.g. model-based selective regression testing, coverage analysis and behavioral result evaluation) To address this problem, we propose a solution that uses model transformation to create a traceable infrastructure of test-related artifacts. We use this infrastructure to support model-based selective regression testing.