Generalized Coverage Criteria for Combinatorial Sequence Testing

Achiya Elyasaf, Eitan Farchi, Oded Margalit, Gera Weiss, Yeshayahu Weiss

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


We present a new model-based approach for testing systems that use sequences of actions and assertions as test vectors. Our solution includes a method for quantifying testing quality, a tool for generating high-quality test suites based on the coverage criteria we propose, and a framework for assessing risks. For testing quality, we propose a method that specifies generalized coverage criteria over sequences of actions, which extends previous approaches. Our publicly available tool demonstrates how to extract effective test suites from test plans based on these criteria. We also present a Bayesian approach for measuring the probabilities of bugs or risks, and show how this quantification can help achieve an informed balance between exploitation and exploration in testing. Finally, we provide an empirical evaluation demonstrating the effectiveness of our tool in finding bugs, assessing risks, and achieving coverage.

Original languageEnglish
Pages (from-to)4023-4034
Number of pages12
JournalIEEE Transactions on Software Engineering
Issue number8
StatePublished - 1 Aug 2023


  • Bayesian risk-Reduction
  • behavioral programming
  • combinatorial test design
  • model-based testing
  • sequence testing
  • test coverage
  • test generation
  • test optimization

ASJC Scopus subject areas

  • Software


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