Titlebook: NASA Formal Methods; 10th International S Aaron Dutle,César Muñoz,Anthony Narkawicz Conference proceedings 2018 Springer International Publ

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Output Range Analysis for Deep Feedforward Neural Networks,ly proposed solver for deep neural networks. We demonstrate applications of our approach to computing flowpipes for neural network-based feedback controllers. We show that the use of local search in conjunction with mixed-integer linear programming solvers effectively reduces the combinatorial searc

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Formal Dynamic Fault Trees Analysis Using an Integration of Theorem Proving and Model Checking,nalysis (determine the cut sets and sequences) of DFTs with theorem proving. We then use model checking to perform the quantitative analysis (compute probabilities of failure) of the formally verified reduced DFT. We applied our methodology on five benchmarks and the results show that the formally v

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Static Value Analysis of Python Programs by Abstract Interpretation,opose a relational abstraction of generators to count the number of available elements and prove that no . exception is raised..Our prototype implementation is heavily in development; it does not support some Python features, such as recursion nor the . builtin, and it handles only a small part of t

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f authoritative publications, where one can find the latest impor­ tant world literature produced by these emerging areas of science together with documentation978-1-4612-7026-3978-1-4612-1156-3Series ISSN 0179-5953 Series E-ISSN 2197-6554

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Charles Zhuo Chen,Werner Dietlthe world. Among the sequelae of this broad new emphasis has been an inescapable need for an articulated set of authoritative publications where one could expec978-1-4684-7088-8978-1-4684-7086-4Series ISSN 0179-5953 Series E-ISSN 2197-6554

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Souradeep Dutta,Susmit Jha,Sriram Sankaranarayanan,Ashish Tiwari

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Yassmeen Elderhalli,Osman Hasan,Waqar Ahmad,Sofiène Tahar