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Titlebook: Computer Aided Verification; 30th International C Hana Chockler,Georg Weissenbacher Conference proceedings‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if a

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書(shū)目名稱(chēng)Computer Aided Verification
副標(biāo)題30th International C
編輯Hana Chockler,Georg Weissenbacher
視頻videohttp://file.papertrans.cn/234/233352/233352.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computer Aided Verification; 30th International C Hana Chockler,Georg Weissenbacher Conference proceedings‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if a
描述.This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018...The 52 full and 13 tool papers presented ?together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The?papers cover a wide range of topics and techniques, from algorithmic?and logical foundations of verification to practical applications in distributed,?networked, cyber-physical, and autonomous systems.?They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications..
出版日期Conference proceedings‘‘‘‘‘‘‘‘ 2018
關(guān)鍵詞artificial intelligence; data security; decision theory; evolutionary algorithms; formal logic; formal me
版次1
doihttps://doi.org/10.1007/978-3-319-96145-3
isbn_softcover978-3-319-96144-6
isbn_ebook978-3-319-96145-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s) 2018
The information of publication is updating

書(shū)目名稱(chēng)Computer Aided Verification影響因子(影響力)




書(shū)目名稱(chēng)Computer Aided Verification影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Computer Aided Verification被引頻次




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Jo?o Goes,Jo?o C. Vital,José Francasignificantly modify the desired semantics of the overall system. Along the same lines, existing algorithms for constructing robust ML algorithms ignore the specification of the overall system. In this paper, we argue that the semantics and specification of the overall system has a crucial role to p
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Model Checking Quantitative Hyperpropertiesty with a new model checking algorithm based on model-counting. The new algorithm needs only logarithmic space in the bound and therefore improves, depending on the property, exponentially or even doubly exponentially over the model checking algorithm of HyperLTL. In the worst case, the new algorith
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