Computer Science – Programming Languages
Scientific paper
2007-01-30
PLDI: Conference on Programming Language Design and Implementation (2003) 196 - 207
Computer Science
Programming Languages
Scientific paper
10.1145/781131.781153
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).
Blanchet Bruno
Cousot Patrick
Cousot Radhia
Feret Jerôme
Mauborgne Laurent
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