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Incremental bounded model checking for embedded software

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Version 2 2023-06-13, 15:03
Version 1 2023-06-09, 04:29
journal contribution
posted on 2023-06-13, 15:03 authored by Peter Schrammel, Daniel Kroening, Martin Brain, Ruben Martins, Tino Teige, Tom Bienmüller
Program analysis is on the brink of mainstream usage in embedded systems development. Formal verification of behavioural requirements, finding runtime errors and 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 article 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 the 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. We furthermore report promising results on analysing programs with arbitrary loop structure using incremental BMC, demonstrating its applicability and potential to verify general software beyond the embedded domain.

History

Publication status

  • Published

File Version

  • Published version

Journal

Formal Aspects of Computing

ISSN

0934-5043

Publisher

Springer Verlag

Issue

5

Volume

29

Page range

911-931

Department affiliated with

  • Informatics Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2016-12-21

First Open Access (FOA) Date

2017-02-23

First Compliant Deposit (FCD) Date

2016-12-21

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