Umfang:
1 Online-Ressource (X, 261 p. 605 illus., 41 illus. in color)
Ausgabe:
1st ed. 2019
ISBN:
9783030309237
Serie:
Theoretical Computer Science and General Issues 11636
Inhalt:
Model Verification Through Dependency Graphs -- Model Checking Branching Time Properties for Incomplete Markov Chains -- A Novel Decentralized LTL Monitoring Framework Using Formula Progression Table -- From Dynamic State Machines to Promela -- String abstraction for model checking of C programs -- Swarm Model Checking on the GPU -- Statistical Model Checking of Complex Robotic Systems -- STAD: Stack Trace Based Automatic Software Misconfiguration Diagnosis via Value Dependency Graph -- Extracting Safe Thread Schedules from Incomplete Model Checking Results -- Learning Guided Enumerative Synthesis for Superoptimization -- Applying Model Checking Approach with Floating Point Arithmetic -- Conformance Testing of Schedulers for DSL-based Model Checking -- A Study of Learning Data Structure Invariants Using Off-the-shelf Tools -- VeriVANca: An Actor-Based Framework for Formal Verification of Warning Message Dissemination Schemes in VANETs
Inhalt:
This book constitutes the refereed proceedings of the 26th International Symposium on Model Checking Software, SPIN 2019, held in Beijing, China, in July 2019. The 11 full papers presented and 2 demo-tool papers, were carefully reviewed and selected from 29 submissions. Topics covered include formal verification techniques for automated analysis of software; formal analysis for modeling languages, such as UML/state charts; formal specification languages, temporal logic, design-by-contract; model checking, automated theorem proving, including SAT and SMT; verifying compilers; abstraction and symbolic execution techniques; and much more
Weitere Ausg.:
ISBN 9783030309220
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe SPIN (26. : 2019 : Peking) Model checking software Cham, Switzerland : Springer, 2019 ISBN 9783030309220
Weitere Ausg.:
ISBN 3030309223
Sprache:
Englisch
Schlagwort(e):
Softwaretest
;
Software Engineering
;
Verifikation
;
Konferenzschrift
DOI:
10.1007/978-3-030-30923-7
