Dependable Software Engineering. Theories, Tools, and Applications  6th International Symposium, SETTA 2020, Guangzhou, China, November 24-27, 2020, Proceedings /  [electronic resource] : 
edited by Jun Pang, Lijun Zhang. 
 - 1st ed. 2020. 
 - XIII, 203 p. 228 illus., 31 illus. in color.  online resource. 
 - Programming and Software Engineering,  12153  2945-9168 ; .
 - Programming and Software Engineering,  12153 .
<br/><br/>The Road Ahead for Supervisor Synthesis -- Reentrancy? Yes. Reentrancy bug? No -- Graph Transformation Systems: a Semantics Based on (Stochastic) Symmetric Nets -- Modelling and Implementation of Unmanned Aircraft Collision Avoidance -- Randomized Re nement Checking of Timed I/O Automata -- Computing Linear Arithmetic Representation for Reachability Relation of One-counter Automata -- Compiling FL^ on Finite Words -- Symbolic Model Checking with Sentential Decision Diagrams -- Probably Approximately Correct Interpolants Generation -- Symbolic Verification of MPI Programs with Non-deterministic Synchronizations -- Learning Safe Neural Network Controllers with Barrier Certificates -- Software Defect-proneness Prediction Based on Package Cohesion and Coupling Metrics. 
<br/><br/> This book constitutes the proceedings of the 6th International Symposium on Dependable Software Engineering, SETTA 2020, held in Guangzhou, China, in November 2020. The 10 full and 1 short paper included in this volume were carefully reviewed and selected from 20 submissions. They deal with latest research results and ideas on bridging the gap between formal methods and software engineering. . 
<br/><br/><label>ISBN: </label>9783030628222 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-62822-2  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Software engineering.<br/>Computer science.<br/>Computer engineering.<br/>Computer networks .<br/>Logic programming.<br/>Computer simulation.<br/>Software Engineering.<br/>Theory of Computation.<br/>Computer Engineering and Networks.<br/>Logic in AI.<br/>Computer Modelling.
<br/><br/><label>LC Class. No.: </label>QA76.758 
<br/><br/><label>Dewey Class. No.: </label>005.1