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

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. 

ISoLA 2024 provides a forum for developers, users, and researchers to discuss issues related to the adoption and use of rigorous tools and methods for the specification, analysis, verification, certification, construction, test, and maintenance of systems from the point of view of their different application domains.

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.