Verified Software. Theories, Tools, and Experiments: 11th International Conference, VSTTE 2019, New York City, NY, USA, July 13–14, 2019, Revised Selected Papers: Lecture Notes in Computer Science, cartea 12031
Editat de Supratik Chakraborty, Jorge A. Navasen Limba Engleză Paperback – 14 mar 2020
The 9 full papers presented were carefully revised and selected from 17 submissions. The papers describe large-scale verification efforts that involve collaboration, theory unification, tool integration, and formalized domain knowledge as well as novel experiments and case studies evaluating verification techniques and technologies.
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Specificații
ISBN-13: 9783030415990
ISBN-10: 3030415996
Pagini: 193
Ilustrații: XVI, 193 p. 221 illus., 30 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Programming and Software Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030415996
Pagini: 193
Ilustrații: XVI, 193 p. 221 illus., 30 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Programming and Software Engineering
Locul publicării:Cham, Switzerland
Cuprins
Uncertainty, Modeling and Safety Assurance: Towards a Unified Framework.- Combinations of Reusable Abstract Domains for a Multilingual Static Analyzer.- Verifying Network Control Planes.- Verifiable Homomorphic Tallying for the Schulze Vote Counting Scheme.- Incremental Minimization of Symbolic Automata.- Seamless Interactive Program Verification.- Formal Verification of Work Flow Policies for Smart Contracts in Azure Blockchain.- Ghost Code in Action: Automated Verification of a Symbolic Interpreter.- DCSynth: Guided Reactive Synthesis with Soft Requirements.- Refinement type contracts for verification of scientific investigative software.- solc-verify: A Modular Verifier for Solidity Smart Contracts.- Intersection and Rotation of Assumption Literals Boosts Bug-Finding.