Fundamental Approaches to Software Engineering

Fundamental Approaches to Software Engineering

27th International Conference, FASE 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6-11, 2024, Proceedings

Cavalcanti, Ana; Beyer, Dirk

Springer International Publishing AG

04/2024

332

Mole

9783031572586

15 a 20 dias

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?From Mechanized Semantics to Verified Compilation: The Clight Semantics of CompCert.- Foundations for Query-based Runtime Monitoring of Temporal Properties over Runtime Models.- Probabilistic Runtime Enforcement of Executable BPMN Processes.- Integrating Look-ahead Design-time and Run-time Control-synthesis for Graph Transformation Systems.- Formal Specification of Trusted Execution Environment APIs.- Monitoring the Future of Smart Contracts.- Comprehending Object State via Dynamic Class Invariant Learning.- Detection for Large-Scale Online Service Systems Using Multi-Channel Data.- Refinement Verification of OS Services based on a Verified Preemptive Microkernel.- Fuzzy quantitative attack tree analysis.- Towards Reliable SQL Synthesis: Fuzzing-Based Evaluation and Disambiguation.- Invariant-based Program Repair.- Can ChatGPT support software verification.- Combining Deductive Verification with Shape Analysis.- First Steps towards Deductive Verification of LLVM IR.- FDSE: Enhance Symbolic Execution by Fuzzing-based Pre-Analysis (Competition Contribution).- Fizzer: New Gray-Box Fuzzer (Competition Contribution).- KLEEF: Symbolic Execution Engine (Competition Contribution).- TracerX: Pruning Dynamic Symbolic Execution with Deletion and Weakest Precondition Interpolation (Competition Contribution).- Ultimate TestGen: Test Case Generation with Automata-based Software Model Checking (Competition Contribution).
software engineering;requirements;design;architecture;modeling;applications of AI to software engineering;software engineering of AI-based systems;software quality;model-driven engineering;processes;software evolution;open access