Dependable Software Engineering. Theories, Tools, and Applications Third International Symposium, SETTA 2017, Changsha, China, October 23-25, 2017, Proceedings / [electronic resource] :
edited by Kim Guldstrand Larsen, Oleg Sokolsky, Ji Wang.
- 1st ed. 2017.
- XVIII, 351 p. 74 illus. online resource.
- Programming and Software Engineering, 10606 2945-9168 ; .
- Programming and Software Engineering, 10606 .
Probabilistic and Statistical Analysis -- Timed and Hybrid Systems -- Program Analysis -- Modeling and Verification.- Formalization -- Tools.
This book constitutes the proceedings of the Third International Symposium on Dependable Software Engineering: Theories, Tools, and Applications, SETTA 2017, held in Changsha, China, in October 2017. The 19 full papers presented together with 3 invited talks were carefully reviewed and selected from 31 submissions. The aim of the symposium is to bring together international researchers and practitioners in the field of software technology. Its focus is on probabilistic and statistical analysis; timed and hybrid systems; program analysis; modeling and verification; formalization; and tools.
9783319694832
10.1007/978-3-319-69483-2 doi
Software engineering.
Computer science.
Machine theory.
Computer simulation.
Computer science--Mathematics.
Mathematical statistics.
Software Engineering.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
Computer Modelling.
Probability and Statistics in Computer Science.
QA76.758
005.1
Probabilistic and Statistical Analysis -- Timed and Hybrid Systems -- Program Analysis -- Modeling and Verification.- Formalization -- Tools.
This book constitutes the proceedings of the Third International Symposium on Dependable Software Engineering: Theories, Tools, and Applications, SETTA 2017, held in Changsha, China, in October 2017. The 19 full papers presented together with 3 invited talks were carefully reviewed and selected from 31 submissions. The aim of the symposium is to bring together international researchers and practitioners in the field of software technology. Its focus is on probabilistic and statistical analysis; timed and hybrid systems; program analysis; modeling and verification; formalization; and tools.
9783319694832
10.1007/978-3-319-69483-2 doi
Software engineering.
Computer science.
Machine theory.
Computer simulation.
Computer science--Mathematics.
Mathematical statistics.
Software Engineering.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
Computer Modelling.
Probability and Statistics in Computer Science.
QA76.758
005.1