FocalTest: A Constraint Programming Approach for Property-Based Testing

  • Matthieu Carlier
  • Catherine Dubois
  • Arnaud Gotlieb
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 170)


Property-based testing is the process of selecting test data from user-specified properties fro testing a program. Current automatic property-based testing techniques adopt direct generate-and-test approaches for this task, consisting in generating first test data and then checking whether a property is satisfied or not. are generated at random and rejected when they do not satisfy selected coverage criteria. In this paper, we propose a technique and tool called FocalTest, which adopt a test-and-generate approach through the usage of constraint reasoning. Our technique utilizes the property to prune the search space during the test data generation process. A particular difficulty is the generation of test data satisfying MC/DC on the precondition of a property, when it contains function calls with pattern matching and high-order functions. Our experimental results show that a non-naive implementation of constraint reasoning on these constructions outperform traditional generation techniques when used to find test data for testing properties.


Software testing Automated test data generation MC/DC Constraint reasoning 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Matthieu Carlier
    • 1
  • Catherine Dubois
    • 2
  • Arnaud Gotlieb
    • 1
  1. 1.INRIA Rennes Bretagne AtlantiqueRennesFrance
  2. 2.CEDRIC-ENSIIEÉvryFrance

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