Leveraging Applications of Formal Methods, Verification and Validation. Software Engineering Methodologies

12th International Symposium, ISoLA 2024, Crete, Greece, October 27–31, 2024, Proceedings, Part IV

Häftad, Engelska, 2024

Av Tiziana Margaria, Bernhard Steffen

1 129 kr

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The ISoLA 2024 proceedings constitutes contributions of the associated events held at the 12th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2024, which took place in Crete, Greece, in October 2024.

Produktinformation

Utgivningsdatum2024-10-26
Mått155 x 235 x 19 mm
Vikt522 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor330
FörlagSpringer International Publishing AG
ISBN9783031753862

Tillhör följande kategorier

QuAK: Quantitative Automata Kit.- Automating Software Re-Engineering: Introduction to the ISoLA 2024 Track.- On using large language models pre-trained on digital twins as oracles to foster the use of formal methods in practice.- Cloud Continuum Digital Twins: Architectures of Solution, Open Technical Challenges, and Lessons Learned.- (Re-)Engineering Digital Twins Towards Federation: Vision and Roadmap.- Threats to Instrument Validity within “in Silico” Research: Software Engineering to the Rescue.- Automated Clone Elimination in Python Tests.- Towards Automated Security Hardening using Timed Path Conditions in Shared Bus Systems.- Towards a More Sustainable Re-Engineering of Heterogeneous Distributed Systems Using Cooperating Run-Time Monitors.- X-by-Construction Meets AI.- Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI.- Logic-Based Explainability: Past, Present & Future.- Towards Hybrid-AI in Imaging using VoxLogicA.- Towards AI-assisted Correctness-by-Construction Software Development.- Towards Combining the Cognitive Abilities of Large Language Models with the Rigor of Deductive Progam Verification.- Traceability and Accountability by Construction.- Synthesis from Infinite-State Generalized Reactivity(1) Specifications.- On Threat Model Repair.- Towards Formal Design of FDIR Components with AI.

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