Software Verification and Formal Methods for ML-Enabled Autonomous Systems (Lecture Notes in Computer Science)

Software Verification and Formal Methods for ML-Enabled Autonomous Systems (Lecture Notes in Computer Science)

by: Omri Isac (Editor),Radoslav Ivanov (Editor),Guy Katz (Editor),Nina Narodytska (Editor),Laura Nenzi (Editor)&1more

Publisher: Springer

Edition: 1st ed. 2022

Publication Date: 2022/12/16

Language: English

Print Length: 216 pages

ISBN-10: 3031212215

ISBN-13: 9783031212215

Book Description

This book constitutes the refereed proceedings of the 5th Inteational Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th Inteational Workshop on Numerical Software Verification, NSV 2022, which took place in Haifa, Israel, in July/August 2022. The volume contains 8 full papers from the FoMLAS 2022 workshop and 3 full papers from the NSV 2022 workshop. The FoMLAS workshop is dedicated to the development of novel formal methods techniques to discussing on how formal methods can be used to increase predictability, explainability, and accountability of ML-enabled autonomous systems. NSV 2022 is focusing on the challenges of the verification of cyber-physical systems with machine leaing components.

About the Author

This book constitutes the refereed proceedings of the 5th Inteational Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th Inteational Workshop on Numerical Software Verification, NSV 2022, which took place in Haifa, Israel, in July/August 2022. The volume contains 8 full papers from the FoMLAS 2022 workshop and 3 full papers from the NSV 2022 workshop. The FoMLAS workshop is dedicated to the development of novel formal methods techniques to discussing on how formal methods can be used to increase predictability, explainability, and accountability of ML-enabled autonomous systems. NSV 2022 is focusing on the challenges of the verification of cyber-physical systems with machine leaing components.

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