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Titlebook: Software Verification; 12th International C Maria Christakis,Nadia Polikarpova,Peter Schrammel Conference proceedings 2020 Springer Nature

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书目名称Software Verification
副标题12th International C
编辑Maria Christakis,Nadia Polikarpova,Peter Schrammel
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Software Verification; 12th International C Maria Christakis,Nadia Polikarpova,Peter Schrammel Conference proceedings 2020 Springer Nature
描述.This book constitutes the refereed proceedings of the 12th International Conference on Verified Software, VSTTE 2020, and the 13.th. International Workshop on Numerical Software Verification, NSV 2020, held in Los Angeles, CA, USA, in July 2020. Due to COVID-19 pandemic the conference was held virtually.. The 13 papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers describe large-scale verification efforts that involve collaboration, theory unification, tool integration, and formalized domain knowledge as well as novel experiments and case studies evaluating verification techniques and technologies.. The conference was co-located with the 32nd International Conference on Computer-Aided Verification (CAV 2020)..
出版日期Conference proceedings 2020
关键词artificial intelligence; decision theory; learning algorithms; model checking; numerical simulation; sema
版次1
doihttps://doi.org/10.1007/978-3-030-63618-0
isbn_softcover978-3-030-63617-3
isbn_ebook978-3-030-63618-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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978-3-030-63617-3Springer Nature Switzerland AG 2020
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0302-9743 ase studies evaluating verification techniques and technologies.. The conference was co-located with the 32nd International Conference on Computer-Aided Verification (CAV 2020)..978-3-030-63617-3978-3-030-63618-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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MCBAT: Model Counting for Constraints over Bounded Integer Arraysnteger lattice point enumeration algorithm. Finally, we present experimental validation for the correctness and scalability of our approach and apply MCBAT to a case study on automated average case analysis for array programs, demonstrating applicability to automated quantitative program analysis.
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Towards Numerical Assistantsternal measurement to polish the tool. Looking more broadly, we show that community development and an investment in the generality of our tools, such as through the FPBench project, will better support users and strengthen our research community.
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