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Titlebook: Computer Safety, Reliability, and Security; SAFECOMP 2018 Worksh Barbara Gallina,Amund Skavhaug,Friedemann Bitsch Conference proceedings 20

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書目名稱Computer Safety, Reliability, and Security
副標(biāo)題SAFECOMP 2018 Worksh
編輯Barbara Gallina,Amund Skavhaug,Friedemann Bitsch
視頻videohttp://file.papertrans.cn/234/233739/233739.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Safety, Reliability, and Security; SAFECOMP 2018 Worksh Barbara Gallina,Amund Skavhaug,Friedemann Bitsch Conference proceedings 20
描述.This book constitutes the refereed proceedings of five workshops co-located with SAFECOMP 2018, the 37th International Conference on Computer Safety, Reliability, and Security, held in V?ster?s, Sweden, in September 2018...The 28 revised full papers and 21 short papers presented together with 5 introductory papers to each workshop were carefully reviewed and selected from 73 submissions. This year‘s workshops are: ASSURE 2018 – Assurance Cases for Software-Intensive Systems; DECSoS 2018 – ERCIM/EWICS/ARTEMIS Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems; SASSUR 2018 – Next Generation of System Assurance Approaches for Safety-Critical Systems; STRIVE 2018 – Safety, securiTy, and pRivacy In automotiVe systEms; and WAISE 2018 – Artificial Intelligence Safety Engineering..The chapter ‘“Boxing Clever”: Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift‘ is available open access under an Open GovernmentLicense via link.springer.com..
出版日期Conference proceedings 2018
關(guān)鍵詞fault-tolerant hardware and software architectures; fault detection and recovery; architecture-driven
版次1
doihttps://doi.org/10.1007/978-3-319-99229-7
isbn_softcover978-3-319-99228-0
isbn_ebook978-3-319-99229-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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978-3-319-99228-0Springer Nature Switzerland AG 2018
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Constraint-Based Testing for Buffer Overflowsows. Both testing techniques are based on guiding conditions statically derived by Integer Constraint Analysis. First experimental evaluations confirmed the superiority of local optimization algorithms over global ones.
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