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Mutational Fuzz Testing for Constraint Modeling Systems

Authors Wout Vanroose , Ignace Bleukx , Jo Devriendt , Dimos Tsouros , Hélène Verhaeghe , Tias Guns

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Author Details

Wout Vanroose
  • DTAI, KU Leuven, Belgium
Ignace Bleukx
  • DTAI, KU Leuven, Belgium
Jo Devriendt
  • DTAI, KU Leuven, Belgium
Dimos Tsouros
  • DTAI, KU Leuven, Belgium
Hélène Verhaeghe
  • DTAI, KU Leuven, Belgium
Tias Guns
  • DTAI, KU Leuven, Belgium

Funding

This research received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant No. 101002802, CHAT-Opt).

Cite As Get BibTex

Wout Vanroose, Ignace Bleukx, Jo Devriendt, Dimos Tsouros, Hélène Verhaeghe, and Tias Guns. Mutational Fuzz Testing for Constraint Modeling Systems. In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 307, pp. 29:1-29:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.CP.2024.29

Abstract

Constraint programming (CP) modeling languages, like MiniZinc, Essence and CPMpy, play a crucial role in making CP technology accessible to non-experts. Both solver-independent modeling frameworks and solvers themselves are complex pieces of software that can contain bugs, which undermines their usefulness. Mutational fuzz testing is a way to test complex systems by stochastically mutating input and verifying preserved properties of the mutated output. We investigate different mutations and verification methods that can be used on the constraint specifications directly. This includes methods proposed in the context of SMT problem specifications, as well as new methods related to global constraints, optimization, and solution counting/preservation. Our results show that such a fuzz testing approach improves the overall code coverage of a modeling system compared to only unit testing, and is able to find bugs in the whole toolchain, from the modeling language transformations themselves to the underlying solvers.

Subject Classification

ACM Subject Classification
  • Theory of computation → Constraint and logic programming
Keywords
  • fuzz testing
  • Constraint modeling language
  • bugs
  • mutational testing
  • modeling
  • constraint reformulation

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