Matches in SemOpenAlex for { <https://semopenalex.org/work/W2588551419> ?p ?o ?g. }
- W2588551419 endingPage "931" @default.
- W2588551419 startingPage "911" @default.
- W2588551419 abstract "Abstract 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 C BMC to support incremental BMC and its successful integration with the industrial embedded software verification tool BTC E MBEDDED TESTER . 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." @default.
- W2588551419 created "2017-02-24" @default.
- W2588551419 creator A5002477196 @default.
- W2588551419 creator A5009343703 @default.
- W2588551419 creator A5051376776 @default.
- W2588551419 creator A5066022930 @default.
- W2588551419 creator A5077994094 @default.
- W2588551419 creator A5087247518 @default.
- W2588551419 date "2017-09-01" @default.
- W2588551419 modified "2023-10-17" @default.
- W2588551419 title "Incremental bounded model checking for embedded software" @default.
- W2588551419 cites W1495266209 @default.
- W2588551419 cites W1518705996 @default.
- W2588551419 cites W1522773690 @default.
- W2588551419 cites W1544533039 @default.
- W2588551419 cites W1579437898 @default.
- W2588551419 cites W162318746 @default.
- W2588551419 cites W174184838 @default.
- W2588551419 cites W1787074469 @default.
- W2588551419 cites W1791414633 @default.
- W2588551419 cites W1819209966 @default.
- W2588551419 cites W1839583963 @default.
- W2588551419 cites W1841818470 @default.
- W2588551419 cites W1889756448 @default.
- W2588551419 cites W1919297764 @default.
- W2588551419 cites W1964060567 @default.
- W2588551419 cites W1977456312 @default.
- W2588551419 cites W1986706177 @default.
- W2588551419 cites W1991217550 @default.
- W2588551419 cites W1996808256 @default.
- W2588551419 cites W2021705219 @default.
- W2588551419 cites W2063913712 @default.
- W2588551419 cites W2072916763 @default.
- W2588551419 cites W2083965123 @default.
- W2588551419 cites W2098156778 @default.
- W2588551419 cites W2099860748 @default.
- W2588551419 cites W2107470986 @default.
- W2588551419 cites W2110123236 @default.
- W2588551419 cites W2129538349 @default.
- W2588551419 cites W2136705864 @default.
- W2588551419 cites W2138947594 @default.
- W2588551419 cites W2142715983 @default.
- W2588551419 cites W2146806752 @default.
- W2588551419 cites W2147627044 @default.
- W2588551419 cites W2150372321 @default.
- W2588551419 cites W2152426072 @default.
- W2588551419 cites W2162663474 @default.
- W2588551419 cites W2348183150 @default.
- W2588551419 cites W3144270478 @default.
- W2588551419 cites W327452528 @default.
- W2588551419 cites W333834217 @default.
- W2588551419 cites W4206455946 @default.
- W2588551419 cites W4211181233 @default.
- W2588551419 cites W4244876017 @default.
- W2588551419 doi "https://doi.org/10.1007/s00165-017-0419-1" @default.
- W2588551419 hasPublicationYear "2017" @default.
- W2588551419 type Work @default.
- W2588551419 sameAs 2588551419 @default.
- W2588551419 citedByCount "16" @default.
- W2588551419 countsByYear W25885514192018 @default.
- W2588551419 countsByYear W25885514192019 @default.
- W2588551419 countsByYear W25885514192020 @default.
- W2588551419 countsByYear W25885514192021 @default.
- W2588551419 countsByYear W25885514192022 @default.
- W2588551419 crossrefType "journal-article" @default.
- W2588551419 hasAuthorship W2588551419A5002477196 @default.
- W2588551419 hasAuthorship W2588551419A5009343703 @default.
- W2588551419 hasAuthorship W2588551419A5051376776 @default.
- W2588551419 hasAuthorship W2588551419A5066022930 @default.
- W2588551419 hasAuthorship W2588551419A5077994094 @default.
- W2588551419 hasAuthorship W2588551419A5087247518 @default.
- W2588551419 hasBestOaLocation W25885514191 @default.
- W2588551419 hasConcept C110251889 @default.
- W2588551419 hasConcept C111498074 @default.
- W2588551419 hasConcept C134306372 @default.
- W2588551419 hasConcept C149635348 @default.
- W2588551419 hasConcept C154488198 @default.
- W2588551419 hasConcept C165696696 @default.
- W2588551419 hasConcept C186846655 @default.
- W2588551419 hasConcept C199360897 @default.
- W2588551419 hasConcept C24858836 @default.
- W2588551419 hasConcept C2777904410 @default.
- W2588551419 hasConcept C33054407 @default.
- W2588551419 hasConcept C33923547 @default.
- W2588551419 hasConcept C34388435 @default.
- W2588551419 hasConcept C38652104 @default.
- W2588551419 hasConcept C41008148 @default.
- W2588551419 hasConcept C529173508 @default.
- W2588551419 hasConcept C75606506 @default.
- W2588551419 hasConceptScore W2588551419C110251889 @default.
- W2588551419 hasConceptScore W2588551419C111498074 @default.
- W2588551419 hasConceptScore W2588551419C134306372 @default.
- W2588551419 hasConceptScore W2588551419C149635348 @default.
- W2588551419 hasConceptScore W2588551419C154488198 @default.
- W2588551419 hasConceptScore W2588551419C165696696 @default.
- W2588551419 hasConceptScore W2588551419C186846655 @default.
- W2588551419 hasConceptScore W2588551419C199360897 @default.
- W2588551419 hasConceptScore W2588551419C24858836 @default.