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Titlebook: Computer Aided Verification; 28th International C Swarat Chaudhuri,Azadeh Farzan Conference proceedings 2016 Springer International Publish

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書目名稱Computer Aided Verification
副標題28th International C
編輯Swarat Chaudhuri,Azadeh Farzan
視頻videohttp://file.papertrans.cn/234/233374/233374.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Aided Verification; 28th International C Swarat Chaudhuri,Azadeh Farzan Conference proceedings 2016 Springer International Publish
描述.The two-volume set LNCS 9779 and LNCS 9780 constitutes the refereedproceedings of the 28th International Conference on Computer AidedVerification, CAV 2016, held in Toronto, ON, USA, in July 2016..Thetotal of 46 full and 12 short papers presented in the proceedings wascarefully reviewed and selected from 195 submissions. The papers wereorganized in topical sections named: probabilistic systems; synthesis; constraint solving; model checking; program analysis; timed and hybrid systems; verification in practice; concurrency; and automata and games..
出版日期Conference proceedings 2016
關鍵詞distributed systems; formal methods; model checking; verification; Web security; abstract interpretation;
版次1
doihttps://doi.org/10.1007/978-3-319-41528-4
isbn_softcover978-3-319-41527-7
isbn_ebook978-3-319-41528-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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,: Exact Symbolic Inference for Probabilistic Programsat . is more effective than existing exact inference approaches: (i) it successfully computed a precise result for more programs, and (ii) simplified expressions that existing computer algebra systems (e.g., Mathematica, Maple) fail to andle.
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Structural Synthesis for , Specificationsenerated control code as mandated by certification regimes for safety-critical software. Our experimental results suggest that . synthesis scales well to industrial-sized control synthesis problems with 20 input and output ports and beyond.
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String Analysis via Automata Manipulation with Logic Circuit Representationlation operations. It enables both counterexample generation and filter synthesis in string constraint solving. By using the new data structure, automata with large state spaces and/or alphabet sizes can be efficiently represented. Empirical studies on a large set of open source web applications and
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978-3-319-41527-7Springer International Publishing Switzerland 2016
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Relational Research (Trans)forming Practicessed instead of deterministic automata in settings where nondeterministic automata can not be applied in general. In this paper, we provide a polynomially time-bounded algorithm for probabilistic model checking of discrete-time Markov chains against unambiguous Büchi automata specifications and report on our implementation and experiments.
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