Search-Based Software Engineering

.- Adaptive Software Energy Feedback for Long-Term User Engagement.
.- Genetic Programming for Self-Adaptive Auto-Scaling of Microservices.
.- Prompt Optimization for LLM Code Generation via Reinforcement Learning.
.- A Simulation-Based Genetic Algorithm to Find Configuration Anomalies in UAV Software.
.- Zoom, Don't Wander: Why Regional Search Outperforms Pareto Reasoning and Global Optimization in Budget-Constrained SBSE.
.- MLStractor: LLM-Powered Search-Based Monolith-To-Microservice Decomposition.
.- White-Box Execution Refactoring of Transformers for Lower Energy.
.- Reducing LLMs by Searching Heterogeneous Quantizations.
.- Fuzz3: Entropy as a Third Oracle.
.- VFL-Searcher: Optimizing Stealthy Adversarial Dominating Inputs.
.- SafeTune: Search-based Harmfulness Minimisation for Large Language Models.
.- What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests.
.- ApkFuzz: Search-Based Fuzzing for Android APK Vulnerability Discovery.
.- Survival of the Stealthiest: Evolving Low-Entropy Ransomware via Genetic Algorithms.
.- Search-Based Generation of Complex Inputs with FANDANGO.

• Erscheinungsdatum: 09.07.2026
• Autor/Autorin: Wesley K. G. Assunção
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 11.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 155 Seiten
• ISBN: 9783032306999
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.