Liu / Duan | Structured Object-Oriented Formal Language and Method | Buch | 978-3-031-29475-4 | sack.de

Buch, Englisch, Band 13854, 151 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 260 g

Reihe: Lecture Notes in Computer Science

Liu / Duan

Structured Object-Oriented Formal Language and Method

11th International Workshop, SOFL+MSVL 2022, Madrid, Spain, October 24, 2022, Revised Selected Papers
1. Auflage 2023
ISBN: 978-3-031-29475-4
Verlag: Springer International Publishing

11th International Workshop, SOFL+MSVL 2022, Madrid, Spain, October 24, 2022, Revised Selected Papers

Buch, Englisch, Band 13854, 151 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 260 g

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-031-29475-4
Verlag: Springer International Publishing


This book constitutes the refereed workshop proceedings of the 11th International Workshop on Structured Object-Oriented Formal Language and Method, SOFL+MSVL 2022, held in Madrid, in October 2022.
The 12 revised full papers included in the volume were carefully reviewed and selected from 26 submissions. They are organized in the following topical sections: Model Checking & Markov Decision Process; Model Analysis & Tool Implementation; Formal Specification & Testing; Algorithms & Verification.
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Research

Weitere Infos & Material


Model Checking & Markov Decision Process.- Formal Derivation and Verification of Critical Path Algorithm for Directed Acyclic Graph.- An Approach of Transforming Non-Markovian Reward to Markovian Reward.- A JPSL based Model Checking Approach for Java Programs.- Model Analysis & Tool Implementation.- Implementation of Matlab matfun Toolkit Based on MSVL.- Extending Visibly Pushdown Automata over Multi-matching Nested Relations.- Schedulability analysis of rate-monotonic algorithm on concurrent execution of digraph real-time tasks.- Formal Specification & Testing.- Formalization of natural language into PPTL specification via neural machine translation.- Testing Program Segments to Detect Runtime Exceptions in Java.- Inferring Exact Domains to Efficiently Generate Valid Test Cases via Testing.- Algorithms & Verification.- Testing and Verifying the security of COVID-19 CT Images Deep Learning System with Adversarial Attack.- Verifying and improving neural networks using testing-based formal verification.- Alternating Projection Temporal Epistemic Logic.



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