PPT-SMT solvers in

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Program Analysis and Verification Nikolaj Bj ø rner Microsoft Research Lecture 5 Overview of the lectures Day Topics Lab 1 Overview of SMT and applications SAT

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SMT solvers in: Transcript

Program Analysis and Verification Nikolaj Bj ø rner Microsoft Research Lecture 5 Overview of the lectures Day Topics Lab 1 Overview of SMT and applications SAT solving part I Program exploration with Pex. Lecturer: . Qinsi. Wang. May 2, 2012. Z3. high-performance theorem . prover. being developed at Microsoft Research.. mainly by Leonardo de . Moura. and . Nikolaj. . Bjørner. . . Free (online interface, APIs, …) . Yeting. . Ge. Clark Barrett. SMT . 2008. July 7 Princeton. SMT solvers are more complicated. CVC3 contains over 100,000 lines of code. Are SMT solvers correct?. . Quest for . correct. SMT solvers?. Arithmetic Computations . in Embedded Software Code. Presented by: Kuldeep S. Meel. Adapted from slides by Hassan Eldib and Chao Wang (Virginia Tech). A Robotic Dream. Having a tool that automatically synthesizes the optimum version of a software program.. Pajdla. The Art of Solving Minimal Problems . Tricks: . Making Minimal Solvers Fast. Microsoft Research Cambridge. Czech Technical University in Prague. Capturing Reality . s.r.o. .. CapturingReality. Dafny. K. Rustan M. Leino. RiSE. , Microsoft Research. 17 July 2009. JML seminar. Dagstuhl. , Germany. Dafny. experimental language. sequential, object based (no . subclassing. ). specifications in the style of . Shaz Qadeer. Research in Software Engineering. Microsoft Research. Satisfiability. modulo theories. (. a .  . c) . (. b .  . c). (. a .  . b . . . c. ). c = . true . b . = . true . To AMWG. MARCH 2015. 2. Monthly SMT Data Timeliness AMWG CR 2014 002. End to End File Processing Completeness – March 2015. % Timely Market Delivery. - % of files posted to market (FTPS) by 11:00pm out of # of files received by SMT by 11:00pm.. Nishant Totla. , . Aditya. . Devarakonda. , . Sanjit. . Seshia. SAT Solving. Given a propositional logic formula in conjunctive normal form (CNF), does there exist a satisfying assignment?. . : A Threaded Sparse LU factorization . utilizing Hierarchical Parallelism and Data Layouts. Siva Rajamanickam . Joshua Booth, Heidi . Thornquist. Sixth International Workshop on Accelerators and Hybrid . Preprocessing. Can . Efficiently. . Simulate. Resolution. Paul . Beame. *. . Ashish Sabharwal. . *. Computer Science and Engineering, University of Washington, Seattle, WA, USA. . Allen Institute for Artificial Intelligence, Seattle, WA, USA. SMT workshop 2012. Nikolaj . Bjørner. , Ken McMillan, . Andrey. . Rybalchenko. Microsoft Research. Takeaways. Program Verification . as . Solving Recursive Horn Clauses . . as . Satisfiability. VS Experiments 2008 . –. Toronto, Canada. Leonardo de Moura. Microsoft Research. Agenda. What is SMT?. Experiments:. Windows kernel verification.. Extending SMT solvers.. Garbage collector (Singularity) verification. Jaideep. . Nijjar. . Tevfik Bultan. University of California, Santa Barbara. ASE 2012. Web . Software Everywhere. Commerce, entertainment, social interaction. We will rely on web apps more in the future. Sriram Rajamani. (based on notes/slides by Matt Fredrickson, Andre . Platzer. , . Emina Torlak and Leonardo . De Moura). Modern SAT solvers. First convert a formula to CNF (Conjunctive Normal Form). Use variant of DPLL (Davis Putnam .

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