Conference item
DSValidator: an automated counterexample reproducibility tool for digital systems
- Abstract:
- An automated counterexample reproducibility tool based on MATLAB is presented, called DSValidator, with the goal of reproducing counterexamples that refute specific properties related to digital systems. We exploit counterexamples generated by the Digital System Verifier (DSVerifier), which is a model checking tool based on satisfiability modulo theories for digital systems. DSValidator reproduces the execution of a digital system, relating its input with the counterexample, in order to establish trust in a verification result. We show that DSValidator can validate a set of intricate counterexamples for digital controllers used in a real quadrotor attitude system within seconds and also expose incorrect verification results in DSVerifier. The resulting toolbox leverages the potential of combining different verification tools for validating digital systems via an exchangeable counterexample format.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 999.1KB, Terms of use)
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- Publisher copy:
- 10.1145/3178126.3178151
Authors
- Publisher:
- Association for Computing Machinery
- Host title:
- HSCC 2018: 21st ACM International Conference on Hybrid Systems: Computation and Control
- Journal:
- HSCC 2018 More from this journal
- Pages:
- 253-258
- Publication date:
- 2018-04-11
- Acceptance date:
- 2017-12-19
- DOI:
- Keywords:
- Pubs id:
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pubs:821510
- UUID:
-
uuid:2f8e594e-1524-451f-befd-84b990fb9145
- Local pid:
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pubs:821510
- Source identifiers:
-
821510
- Deposit date:
-
2018-01-26
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2018
- Notes:
- © ACM 2018. This article was presented at HSCC 2018: 21st ACM International Conference on Hybrid Systems: Computation and Control (11-13 April 2018: Porto, Portugal). This is the accepted manuscript version of the article. The final version is available online from ACM at: 10.1145/3178126.3178151
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