Successful use of incremental BMC in the automotive industry

Schrammel, Peter, Kroening, Daniel, Brain, Martin, Martins, Ruben, Teige, Tino and Bienmüller, Tom (2015) Successful use of incremental BMC in the automotive industry. In: Núñez, Manuel and Güdemann, Matthias (eds.) Formal methods for industrial critical systems : 20th International Workshop, FMICS 2015 Oslo, Norway, June 22-23, 2015 Proceedings. Lecture notes in computer science (9128). Springer, pp. 62-77.

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Program analysis is on the brink of mainstream usage in embedded systems development. Formal verification of behavioural requirements, finding runtime errors and automated test case generation are some of the most common applications of automated verification tools based on Bounded Model Checking (BMC). Existing industrial tools for embedded software use an off-the-shelf Bounded Model Checker and apply it iteratively to verify the program with an increasing number of unwindings. This approach unnecessarily wastes time repeating work that has already been done and fails to exploit the power of incremental SAT solving. This paper reports on the extension of the software model checker Cbmc to support incremental BMC and its successful integration with the industrial embedded software verification tool BTC EmbeddedTester. We present an extensive evaluation over large industrial embedded programs, mainly from automotive industry. We show that incremental BMC cuts runtimes by one order of magnitude in comparison to the standard non-incremental approach, enabling the application of formal verification to large and complex embedded software.

Item Type: Book Section
Keywords: software verification, testing, bounded model checking, incremental SAT solving, k-induction, incremental bounded model checking
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User: Peter Schrammel
Date Deposited: 09 May 2016 05:36
Last Modified: 09 May 2016 05:44

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