Software Fault Prevention, Verification, and Validation
Springer Verlag, Singapore
978-981-95-6031-8 (ISBN)
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The 11 full papers included in this book were carefully reviewed and selected from 31 submissions.
They are grouped into the following topics: AI-driven approaches, and their combinations can be explored, established.
.- Software Analysis.
.- Impact of IEEE Computer Society in Advancing Technologies,
including AI SE based on Modeling with Patterns and MLOps.
.- Can Generative AI Enhance the Effectiveness of N-Version Programming?.
.- QRAT: A Reachability Analysis Tool for Quantum Programs.
.- An Empirical Study on Software Defect Prediction Based on Neural
Network DeepDebugger Technique.
.- Fuzzing the Solidity Compiler Solc with Fuzz4All.
.- Diagnosing and Repairing Field Access Hallucinations in LLM-Based
Test Generation.
.- Data-driven and Scenario-based Risk Analysis Considering Uncertainty
in Machine Learning Systems.
.- Similarity Evaluation between Queries and Chunks in RAG Systems.
.- A Support Tool for Verification of Simulation Relations between State
Machines with Maude.
.- Design and Implementation of a Software Tool to Support Agile-SOFL.
.- Model Checking the Two-Phase Commit Protocol for Distributed
Database Systems.
.- FormalVerificationofMeasurement-basedQuantumComputationin
Maude.
| Erscheint lt. Verlag | 24.1.2026 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XX, 177 p. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Software Entwicklung ► Qualität / Testen |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | Debugging • Fault Prevention • program analysis • security • Software engineering • Software Testing • Specification • Validation • verification |
| ISBN-10 | 981-95-6031-4 / 9819560314 |
| ISBN-13 | 978-981-95-6031-8 / 9789819560318 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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