Partial Order Methods In Verification
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Partial Order Methods in Verification
Author: Doron Peled
language: en
Publisher: American Mathematical Soc.
Release Date: 1997-01-01
This book presents surveys on the theory and practice of modeling, specifying, and validating concurrent systems. It contains surveys of techniques used in tools developed for automatic validation of systems. Other papers present recent developments in concurrency theory, logics of programs, model-checking, automata, and formal languages theory. The volume contains the proceedings from the workshop, Partial Order Methods in Verification, which was held in Princeton, NJ, in July 1996. The workshop focused on both the practical and the theoretical aspects of using partial order models, including automata and formal languages, category theory, concurrency theory, logic, process algebra, program semantics, specification and verification, topology, and trace theory. The book also includes a lively e-mail debate that took place about the importance of the partial order dichotomy in modeling concurrency.
Partial-Order Methods for the Verification of Concurrent Systems
Author: Patrice Godefroid
language: en
Publisher: Lecture Notes in Computer Science
Release Date: 1996-01-24
This monograph is a revised version of the author's Ph.D. thesis, submitted to the University of Liège, Belgium, with Pierre Wolper as thesis advisor. The general pattern of this work, is to turn logical and semantic ideas into exploitable algorithms. Thus, it perfectly fits the modern trend, viewing verification as a computer-aided activity, and as algorithmic as possible, not as a paper and pencil one, dealing exclusively with semantic and logical issues. Patrice Godefroid uses state-space exploration as the key technique, which, as such or elaborated into model checking, is attracting growing attention for the verification of concurrent systems. For most realistic examples, the methods presented provide a significant reduction of memory and time requirements for protocol verification.
Handbook of Model Checking
Model checking is a computer-assisted method for the analysis of dynamical systems that can be modeled by state-transition systems. Drawing from research traditions in mathematical logic, programming languages, hardware design, and theoretical computer science, model checking is now widely used for the verification of hardware and software in industry. The editors and authors of this handbook are among the world's leading researchers in this domain, and the 32 contributed chapters present a thorough view of the origin, theory, and application of model checking. In particular, the editors classify the advances in this domain and the chapters of the handbook in terms of two recurrent themes that have driven much of the research agenda: the algorithmic challenge, that is, designing model-checking algorithms that scale to real-life problems; and the modeling challenge, that is, extending the formalism beyond Kripke structures and temporal logic. The book will be valuable for researchers and graduate students engaged with the development of formal methods and verification tools.