Verified Software. Theories, Tools, and Experiments [electronic resource] : 9th International Conference, VSTTE 2017, Heidelberg, Germany, July 22-23, 2017, Revised Selected Papers / edited by Andrei Paskevich, Thomas Wies.
Contributor(s): Paskevich, Andrei [editor.] | Wies, Thomas [editor.] | SpringerLink (Online service).
Material type: BookSeries: Programming and Software Engineering: 10712Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIII, 211 p. 69 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319723082.Subject(s): Software engineering | Computer science | Compilers (Computer programs) | Computer simulation | Artificial intelligence | Computers | Professions | Software Engineering | Theory of Computation | Compilers and Interpreters | Computer Modelling | Artificial Intelligence | The Computing ProfessionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online In: Springer Nature eBookSummary: This volume constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Verified Software: Theories, Tools, and Experiments, VSTTE 2017, held in Heidelberg, Germany, in July 2017. The 12 full papers presented were carefully revised and selected from 20 submissions. The papers describe large-scale verification efforts that involve collaboration, theory unification, tool integration, and formalized domain knowledge as well as novel experiments and case studies evaluating verification techniques and technologies.No physical items for this record
This volume constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Verified Software: Theories, Tools, and Experiments, VSTTE 2017, held in Heidelberg, Germany, in July 2017. The 12 full papers presented were carefully revised and selected from 20 submissions. The papers describe large-scale verification efforts that involve collaboration, theory unification, tool integration, and formalized domain knowledge as well as novel experiments and case studies evaluating verification techniques and technologies.
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