Witch  3: Validation of Violation Witnesses in the Witness Format 2.0

Author:

Ayaziová PaulínaORCID,Strejček JanORCID

Abstract

AbstractWitch  3 is a new validator of violation witnesses in the witness format 2.0. Note that our previous tool, Symbiotic-Witch 2, can validate only violation witnesses in the old GraphML format. Witch  3 validates witnesses of reachability of an error function, overflows, and invalid dereferences and deallocations. Similarly to Symbiotic-Witch 2, the tool is based on symbolic execution and uses parts of the Symbiotic framework. Support of the witness format 2.0 in Witch  3 includes features not supported by Symbiotic-Witch 2, such as constraints on the program variables and function return values, specifying statements by column, and providing the concrete statement in which the violation occurs. These additional features can further restrict the explored state space, and, more importantly, allow for much more precise validation.

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Ayaziová, P., Chalupa, M., Strejček, J.: Symbiotic-Witch: A Klee-based violation witness checker (competition contribution). In: Fisman, D., Rosu, G. (eds.) Tools and Algorithms for the Construction and Analysis of Systems - 28th International Conference, TACAS 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Munich, Germany, April 2-7, 2022, Proceedings, Part II. Lecture Notes in Computer Science, vol. 13244, pp. 468–473. Springer (2022), https://doi.org/10.1007/978-3-030-99527-0_33

2. Ayaziová, P., Strejček, J.: Symbiotic-Witch 2: More efficient algorithm and witness refutation (competition contribution). In: Sankaranarayanan, S., Sharygina, N. (eds.) Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Paris, France, April 22-27, 2023, Proceedings, Part II. Lecture Notes in Computer Science, vol. 13994, pp. 523–528. Springer (2023). https://doi.org/10.1007/978-3-031-30820-8_30

3. Ayaziová, P., Beyer, D., Lingsch-Rosenfeld, M., Spiessl, M., Strejček, J.: Software verification witnesses 2.0. Submitted to SPIN 2024.

4. Ayaziová, P., Strejček, J.: Witch 3. Zenodo (2023). https://doi.org/10.5281/zenodo.10064512

5. Beyer, D.: State of the art in software verification and witness validation: SV-COMP 2024. In: Finkbeiner, B., Kovács, L. (eds.) TACAS 2024. LNCS, vol. 14572, pp. xx–yy. Springer, Cham (2024). https://doi.org/10.1007/978-3-031-57256-2_15

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