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Titlebook: Model Checking Software; 25th International S María del Mar Gallardo,Pedro Merino Conference proceedings 2018 Springer International Publis

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書目名稱Model Checking Software
副標題25th International S
編輯María del Mar Gallardo,Pedro Merino
視頻videohttp://file.papertrans.cn/636/635740/635740.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Model Checking Software; 25th International S María del Mar Gallardo,Pedro Merino Conference proceedings 2018 Springer International Publis
描述This book constitutes the refereed proceedings of the 25th International Symposium on Model Checking Software, SPIN 2018, held in Malaga, Spain, in June 2018..The 14 papers presented, 1 short paper, and 1 demo-tool paper, were carefully reviewed and selected from 28 submissions. Topics covered include formal verification techniques for automated analysis?of software; formal analysis for modeling languages, such as UML/state charts;?formal specification languages, temporal logic, design-by-contract; model checking,?automated theorem proving, including SAT and SMT; verifying compilers;?abstraction and symbolic execution techniques; and much more.?.
出版日期Conference proceedings 2018
關(guān)鍵詞Software engineering; Semantics; Model checking; Software evaluation; Specifications; Programming languag
版次1
doihttps://doi.org/10.1007/978-3-319-94111-0
isbn_softcover978-3-319-94110-3
isbn_ebook978-3-319-94111-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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0302-9743 ain, in June 2018..The 14 papers presented, 1 short paper, and 1 demo-tool paper, were carefully reviewed and selected from 28 submissions. Topics covered include formal verification techniques for automated analysis?of software; formal analysis for modeling languages, such as UML/state charts;?form
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Model Checking Software978-3-319-94111-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/635740.jpg
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https://doi.org/10.1007/978-3-319-94111-0Software engineering; Semantics; Model checking; Software evaluation; Specifications; Programming languag
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3DTI-Net: Learn 3D Transform-Invariant Feature Using Hierarchical Graph CNNeometry information based on local graph representation. Experiments results on various classification and retrieval tasks show that, 3DTI-Net is able to learn 3D feature efficiently and can achieve state-of-the-art performance in rotated 3D object classification and retrieval.
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Advanced Information and Knowledge Processinghttp://image.papertrans.cn/a/image/151160.jpg
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