Tools and Algorithms for the Construction and Analysis of Systems. 26th International Conference, TACAS 2020. Part I

Автор: literator от 11-05-2020, 19:54, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Tools and Algorithms for the Construction and Analysis of Systems. 26th International Conference, TACAS 2020. Part IНазвание: Tools and Algorithms for the Construction and Analysis of Systems. 26th International Conference, TACAS 2020 Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020 Dublin, Ireland, April 25–30, 2020 Proceedings, Part I
Автор: Armin Biere, David Parker
Издательство: Springer
Серия: Lecture Notes in Computer Science
Год: 2020
Страниц: 515
Язык: английский
Формат: pdf (true)
Размер: 16.3 MB

This two-volume set constitutes the proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020.

The total of 60 regular papers presented in these volumes was carefully reviewed and selected from 155 submissions. The papers are organized in topical sections as follows:
Part I: Program verification; SAT and SMT; Timed and Dynamical Systems; Verifying Concurrent Systems; Probabilistic Systems; Model Checking and Reachability; and Timed and Probabilistic Systems.
Part II: Bisimulation; Verification and Efficiency; Logic and Proof; Tools and Case Studies; Games and Automata; and SV-COMP 2020.

Automatic software verification is a broad research area with many success stories and large impact on technology that is applied in industry. It complements other general approaches to ensure functional correctness, like software testing and interactive software verification. One large sub-area of automatic software verification includes algorithms and approaches that are based on SMT technology. Classic approaches like bounded model checking, predicate abstraction, and k -induction are well understood and evaluated; a recent survey provides a uniform overview and sheds light on the differences of the algorithms.

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