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A Static Analyzer for Large Safety-Critical Software

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44141

Blanchet,  Bruno
Static Analysis, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45004

Mauborgne,  Laurent
Programming Logics, MPI for Informatics, Max Planck Society;

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Zitation

Blanchet, B., Cousot, P., Cousot, R., Feret, J., Mauborgne, L., Miné, A., et al. (2003). A Static Analyzer for Large Safety-Critical Software. In Proceedings of the ACM SIGPLAN 2003 Conference on Programming Language Design and Implementation (PLDI-03) (pp. 196-207). New York, USA: ACM.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-2E99-8
Zusammenfassung
We show that abstract interpretation-based static program analysis can be made efficient and precise enough to formally verify a class of properties for a family of large programs with few or no false alarms. This is achieved by refinement of a general purpose static analyzer and later adaptation to particular programs of the family by the end-user through parametrization. This is applied to the proof of soundness of data manipulation operations at the machine level for periodic synchronous safety critical embedded software. The main novelties are the design principle of static analyzers by refinement and adaptation through parametrization, the symbolic manipulation of expressions to improve the precision of abstract transfer functions, the octagon, ellipsoid, and decision tree abstract domains, all with sound handling of rounding errors in floating point computations, widening strategies (with thresholds, delayed) and the automatic determination of the parameters (parametrized packing).