Improving static analyses of C programs with conditional predicates

Sandrine Blazy 1 David Bühler 1, 2 Boris Yakobowski 2
1 CELTIQUE - Software certification with semantic analysis
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
2 LSL - Laboratoire Sûreté des Logiciels
DILS - Département Ingénierie Logiciels et Systèmes : DRT/LIST/DILS
Abstract : Static code analysis is increasingly used to guarantee the absence of undesirable behaviors in industrial programs. Designing sound analyses is a continuing trade-off between precision and complexity. Notably, dataflow analyses often perform overly wide approximations when two control-flow paths meet, by merging states from each path. This paper presents a generic abstract interpretation based framework to enhance the precision of such analyses on join points. It relies on predicated domains, that preserve and reuse information valid only inside some branches of the code. Our predicates are derived from conditional statements, and postpone the loss of information. The work has been integrated into Frama-C, a C source code analysis platform. Experiments on real generated code show that our approach scales, and improves significantly the precision of the existing analyses of Frama-C.
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Sandrine Blazy, David Bühler, Boris Yakobowski. Improving static analyses of C programs with conditional predicates. Science of Computer Programming, Elsevier, 2016, 118, ⟨10.1145/2854065.2854082⟩. ⟨hal-01242077⟩

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