Engineering Trustworthy Software Systems [electronic resource] : 5th International School, SETSS 2019, Chongqing, China, April 21-27, 2019, Tutorial Lectures / edited by Jonathan P. Bowen, Zhiming Liu, Zili Zhang.
Contributor(s): Bowen, Jonathan P [editor.] | Liu, Zhiming [editor.] | Zhang, Zili [editor.] | SpringerLink (Online service).
Material type: BookSeries: Programming and Software Engineering: 12154Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XVII, 221 p. 242 illus., 9 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030550899.Subject(s): Software engineering | Computer networks | Artificial intelligence | Computer programming | Computer systems | Natural language processing (Computer science) | Software Engineering | Computer Communication Networks | Artificial Intelligence | Programming Techniques | Computer System Implementation | Natural Language Processing (NLP)Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access onlineSeamless Model-based System Development: Foundations -- From Bounded Reachability Analysis of Linear Hybrid Automata to Verification of Industrial CPS and IoT -- Weakest Preexpectation Semantics for Bayesian Inference: Conditioning, Continuous Distributions and Divergence -- K - A Semantic Framework for Programming Languages and Formal Analysis Tools -- Software Abstractions and Human-Cyber-Physical Systems Architecture Modelling.
This book constitutes the refereed proceedings of the 5th International School on Engineering Trustworthy Software Systems, SETSS 2019, held in Chongqing, China, in April 2019. The five chapters in this volume provide lectures on leading-edge research in methods and tools for use in computer system engineering. The topics covered in these chapters include Seamless Model-based System Development: Foundations; From Bounded Reachability Analysis of Linear Hybrid Automata to Verification of Industrial CPS and IoT; Weakest Preexpectation Semantics for Bayesian Inference: Conditioning, Continuous Distributions and Divergence; K - A Semantic Framework for Programming Languages and Formal Analysis Tools; and Software Abstractions and Human-Cyber-Physical Systems Architecture Modelling.
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