z3

Z3 is a high-performance theorem prover being developed at Microsoft Research.Z3 supports linear real and integer arithmetic, fixed-size bit-vectors, extensional arrays, uninterpreted functions, and quantifiers. Z3 is integrated with a number of program analysis, testing, and verification tools from Microsoft Research. These include: VCC, Spec#, Boogie, Pex, Yogi, Vigilante, SLAM, F7, F*, SAGE, VS3, FORMULA, and HAVOC.


References in zbMATH (referenced in 488 articles , 1 standard article )

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  1. Barbosa, Haniel; Blanchette, Jasmin Christian; Fleury, Mathias; Fontaine, Pascal: Scalable fine-grained proofs for formula processing (2020)
  2. Bayless, Sam; Kodirov, Nodir; Iqbal, Syed M.; Beschastnikh, Ivan; Hoos, Holger H.; Hu, Alan J.: Scalable constraint-based virtual data center allocation (2020)
  3. Benzmüller, Christoph; Scott, Dana S.: Automating free logic in HOL, with an experimental application in category theory (2020)
  4. Bersani, Marcello M.; Rossi, Matteo; San Pietro, Pierluigi: On the initialization of clocks in timed formalisms (2020)
  5. Bohlender, Dimitri; Kowalewski, Stefan: Leveraging Horn clause solving for compositional verification of PLC software (2020)
  6. Bromberger, Martin; Sturm, Thomas; Weidenbach, Christoph: A complete and terminating approach to linear integer solving (2020)
  7. Drechsler, Rolf (ed.); Soeken, Mathias (ed.): Advanced Boolean techniques. Selected papers from the 13th international workshop on Boolean problems, Bremen, Germany, September 19--21, 2018 (2020)
  8. Finkbeiner, Bernd; Hahn, Christopher; Lukert, Philip; Stenger, Marvin; Tentrup, Leander: Synthesis from hyperproperties (2020)
  9. García Soto, Miriam; Prabhakar, Pavithra: Abstraction based verification of stability of polyhedral switched systems (2020)
  10. Garzella, Jack J.; Baranowski, Marek; He, Shaobo; Rakamarić, Zvonimir: Leveraging compiler intermediate representation for multi- and cross-language verification (2020)
  11. Grastien, Alban; Scala, Enrico: CPCES: a planning framework to solve conformant planning problems through a counterexample guided refinement (2020)
  12. Huang, Cheng-Chao; Xu, Ming; Li, Zhi-Bin: A conflict-driven solving procedure for poly-power constraints (2020)
  13. Ish-Shalom, Oren; Itzhaky, Shachar; Manevich, Roman; Rinetzky, Noam: Harnessing static analysis to help learn pseudo-inverses of string manipulating procedures for automatic test generation (2020)
  14. Kuwajima, Hiroshi; Yasuoka, Hirotoshi; Nakae, Toshihiro: Engineering problems in machine learning systems (2020)
  15. Lukšič, Žiga; Pretnar, Matija: Local algebraic effect theories (2020)
  16. Nielson, Flemming; Nielson, Hanne Riis: Secure guarded commands (2020)
  17. Peña, Ricardo: An assertional proof of red-black trees using Dafny (2020)
  18. Qin, Xudong; Bliudze, Simon; Madelaine, Eric; Hou, Zechen; Deng, Yuxin; Zhang, Min: SMT-based generation of symbolic automata (2020)
  19. Réda, Clémence; Wilczyński, Bartek: Automated inference of gene regulatory networks using explicit regulatory modules (2020)
  20. Sebastiani, Roberto; Trentin, Patrick: \textscOptiMathSAT: a tool for optimization modulo theories (2020)

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