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Titlebook: Static Analysis; 26th International S Bor-Yuh Evan Chang Conference proceedings 2019 Springer Nature Switzerland AG 2019 logics and meaning

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书目名称Static Analysis
副标题26th International S
编辑Bor-Yuh Evan Chang
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Static Analysis; 26th International S Bor-Yuh Evan Chang Conference proceedings 2019 Springer Nature Switzerland AG 2019 logics and meaning
描述This book constitutes the refereed proceedings of the 26th International Symposium on Static Analysis, SAS 2019, held in Porto, Portugal, in October 2019.. The 20 regular papers presented in this book were carefully reviewed and selected from 50 submissions. . The papers are grouped in topical sections on pointers and dataflow; languages and decidability; numerical; trends: assuring machine learning; synthesis and security; and temporal properties and termination.
出版日期Conference proceedings 2019
关键词logics and meanings of programs; static analysis; abstract domains; abstract interpretation; automated d
版次1
doihttps://doi.org/10.1007/978-3-030-32304-2
isbn_softcover978-3-030-32303-5
isbn_ebook978-3-030-32304-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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An Efficient Parametric Linear Programming Solver and Application to Polyhedral Projectiono propose a workaround for a difficulty that plagued previous attempts at using PLP for computations on polyhedra: in general the linear programming problems are degenerate, resulting in redundant computations and geometric descriptions.
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Rethinking Static Analysis by Combining Discrete and Continuous Reasoninging faces new challenges in modern software applications and practices. These challenges concern not only traditional analysis objectives such as scalability, accuracy, and soundness, but also emerging ones such as tailoring analysis conclusions based on relevance or severity of particular code chan
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Static Analysis of Data Science Softwarecenarios, despite being often opaque and unpredictable. In this paper, we will discuss some key challenges and a number of research questions that we are currently addressing in developing static analysis methods and tools for data science software.
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