Overall Objectives
Research Program
Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
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Section: New Results

Formal Verification of Static Analysis

Participants : Sandrine Blazy, Martin Bodin, Thomas Jensen, Vincent Laporte, André Oliveira Maroneze, David Pichardie, Alan Schmitt.

Static analyzers based on abstract interpretation are complex pieces of software implementing delicate algorithms. Even if static analysis techniques are well understood, their implementation on real languages is still error-prone.

Using the Coq proof assistant, we formalized of a value analysis (based on abstract interpretation), and a soundness proof of the value analysis. The formalization relies on generic interfaces. The mechanized proof is facilitated by a translation validation of a Bourdoncle fixpoint iterator. The work has been integrated into the CompCert verified C-compiler. Our verified analysis directly operates over an intermediate language of the compiler having the same expressiveness as C. The automatic extraction of our value analysis into OCaml yields a program with competitive results, obtained from experiments on a number of benchmarks and comparisons with the Frama-C tool [21] . The value analysis was applied to a loop bound estimation tool for WCET analysis [22] relying also on program slicing and loop bound calculation.

Moreover, we formalized static analyses for logic programming, relying on results about the relative correctness of semantics in different styles; forward and backward, top-down and bottom-up. The results chosen are paradigmatic of the kind of correctness theorems that semantic analyses rely on and are therefore well-suited to explore the possibilities afforded by the application of interactive theorem provers to this task, as well as the difficulties likely to be encountered in the endeavour [29] .

We also study the development of certified information flow analyses based on a formal semantics of JavaScript. We have in particular presented a technique for deriving semantic program analyses from a natural semantics specification of the programming language. The technique is based on the pretty-big-step semantics approach applied to a language with simple objects called O'While. We have specified a series of instrumentations of the semantics that makes explicit the flows of values in a program. This leads to a semantics-based dependency analysis, at the core, e.g., of tainting or information flow analyses in software security [32] .