ASTREE

The ASTREÉ Analyzer. ASTRÉE is an abstract interpretation-based static program analyzer aiming at proving automatically the absence of run time errors in programs written in the C programming language. It has been applied with success to large embedded control-command safety critical real-time software generated automatically from synchronous specifications, producing a correctness proof for complex software without any false alarm in a few hours of computation.


References in zbMATH (referenced in 94 articles , 3 standard articles )

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  1. Guthmuller, Marion; Corona, Gabriel; Quinson, Martin: System-level state equality detection for the formal dynamic verification of legacy distributed applications (2018)
  2. Blazy, Sandrine; Bühler, David; Yakobowski, Boris: Structuring abstract interpreters through state and value abstractions (2017)
  3. Monat, Raphaël; Miné, Antoine: Precise thread-modular abstract interpretation of concurrent programs using relational interference abstractions (2017)
  4. Zeljić, Aleksandar; Wintersteiger, Christoph M.; Rümmer, Philipp: An approximation framework for solvers and decision procedures (2017)
  5. Blazy, Sandrine; Laporte, Vincent; Pichardie, David: An abstract memory functor for verified C static analyzers (2016)
  6. Cha, Sooyoung; Jeong, Sehun; Oh, Hakjoo: Learning a strategy for choosing widening thresholds from a large codebase (2016)
  7. Ferrara, Pietro: A generic framework for heap and value analyses of object-oriented programming languages (2016)
  8. Mastroeni, Isabella; Giacobazzi, Roberto: Weakening additivity in adjoining closures (2016)
  9. Boldo, Sylvie; Jourdan, Jacques-Henri; Leroy, Xavier; Melquiond, Guillaume: Verified compilation of floating-point computations (2015)
  10. Kirchner, Florent; Kosmatov, Nikolai; Prevosto, Virgile; Signoles, Julien; Yakobowski, Boris: Frama-C: a software analysis perspective (2015) ioport
  11. Alberti, Francesco; Bruttomesso, Roberto; Ghilardi, Silvio; Ranise, Silvio; Sharygina, Natasha: An extension of lazy abstraction with interpolation for programs with arrays (2014)
  12. Brain, Martin; D’Silva, Vijay; Griggio, Alberto; Haller, Leopold; Kroening, Daniel: Deciding floating-point logic with abstract conflict driven clause learning (2014)
  13. Cousot, Patrick; Cousot, Radhia: A Galois connection calculus for abstract interpretation (2014)
  14. Duracz, Jan; Konečný, Michal: Polynomial function intervals for floating-point software verification (2014)
  15. Furia, Carlo A.; Meyer, Bertrand; Velder, Sergey: Loop invariants: analysis, classification, and examples (2014)
  16. Wu, Xueguang; Chen, Liqian; Wang, Ji: An abstract domain to infer symbolic ranges over nonnegative parameters (2014)
  17. Boldo, Sylvie; Clément, François; Filli^atre, Jean-Christophe; Mayero, Micaela; Melquiond, Guillaume; Weis, Pierre: Wave equation numerical resolution: a comprehensive mechanized proof of a C program (2013)
  18. Kapur, Deepak; Zhang, Zhihai; Horbach, Matthias; Zhao, Hengjun; Lu, Qi; Nguyen, ThanhVu: Geometric quantifier elimination heuristics for automatically generating octagonal and max-plus invariants (2013)
  19. Köpf, Boris; Rybalchenko, Andrey: Automation of quantitative information-flow analysis (2013)
  20. Sharma, Rahul; Gupta, Saurabh; Hariharan, Bharath; Aiken, Alex; Liang, Percy; Nori, Aditya V.: A data driven approach for algebraic loop invariants (2013)

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