NASA Formal Methods: 12th International Symposium, NFM 2020, Moffett Field, CA, USA, May 11–15, 2020, Proceedings

Author:   Ritchie Lee ,  Susmit Jha ,  Anastasia Mavridou ,  Dimitra Giannakopoulou
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12229
ISBN:  

9783030557539


Pages:   442
Publication Date:   09 August 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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NASA Formal Methods: 12th International Symposium, NFM 2020, Moffett Field, CA, USA, May 11–15, 2020, Proceedings


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Overview

This book constitutes the proceedings of the 12th International Symposium on NASA Formal Methods, NFM 2020, held in Moffett Field, CA, USA, in May 2020.* The 20 full and 5 short papers presented in this volume were carefully reviewed and selected from 62 submissions. The papers are organized in the following topical sections:  learning and formal synthesis; formal methods for DNNs; high assurance systems; requirement specification and testing; validation and solvers; solvers and program analysis; verification and times systems; autonomy and other applications; and hybrid and cyber-physical systems. *The conference was held virtually due to the COVID-19 pandemic. The chapter “Verifying a Solver for Linear Mixed Integer Arithmetic in Isabelle/HOL” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Full Product Details

Author:   Ritchie Lee ,  Susmit Jha ,  Anastasia Mavridou ,  Dimitra Giannakopoulou
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12229
Weight:   0.712kg
ISBN:  

9783030557539


ISBN 10:   3030557537
Pages:   442
Publication Date:   09 August 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Learning and Formal Synthesis.- From Passive to Active: Learning Timed Automata Efficiently.- Generating Correct-by-Construction Distributed Implementations from Formal Maude Designs.- Parameter Synthesis and Robustness Analysis of Rule-Based Models.- Formal Methods for DNNs.- PaRoT: A Practical Framework for Robust Deep Neural Network Training.- Simplifying Neural Networks using Formal Verification.- High Assurance Systems.- Neural Simplex Architecture.- Strengthening Deterministic Policies for POMDPs.- Benchmarking Software Model Checkers on Automotive Code.- Requirement Specification and Testing.- Automated Requirements-Based Testing of Black-Box Reactive Systems.- Formal Verification of Parallel Prefix Sum.- Specification Quality Metrics Based on Mutation and Inductive Incremental Model Checking.- Validation and Solvers.- A Validation Methodology for OCaml-to-PVS Translation.- On the Usefulness of Clause Strengthening in Parallel SAT Solving.- Solvers and Program Analysis.- Verifying a Solver for Linear Mixed Integer Arithmetic in Isabelle/HOL*.- Constraint Caching Revisited.- Per-Location Simulation.- Verification and Timed Systems.- Sampling Distributed Schedules for Resilient Space Communication.- Model Checking Timed Hyperproperties in Discrete-Time Systems.- Verifying Band Convergence for Sampled Control Systems.- Autonomy and Other Applications.- Heterogeneous Verification of an Autonomous Curiosity Rover.- Run-Time Assurance for Learning-Enabled Systems.- hpnmg: A CC++ Tool for Model Checking Hybrid Petri Nets with General Transitions.- Hybrid and Cyber-Physical Systems.- A Transformation of Hybrid Petri Nets with Stochastic Firings into a Subclass of Stochastic Hybrid Automata.- Constraining Counterexamples in Hybrid System Falsification: Penalty-Based Approaches.- Falsification of Cyber-Physical Systems with Constrained Signal Spaces.

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