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[null,"1.","Record Nr.",null,"UNINA9911047665303321"]
[null,null,"Autore",null,"Zhou Yuan"]
[null,null,"Titolo",null,"Engineering of Complex Computer Systems : 29th International Conference, ICECCS 2025, Hangzhou, China, July 2–4, 2025, Proceedings / / edited by Yuan Zhou, Sin G. Teo, Xiaofei Xie, Zuohua Ding, Yang Liu"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026"]
[null,null,"ISBN",null,"3-032-00828-X"]
[null,null,"Edizione",null,"[1st ed. 2026.]"]
[null,null,"Descrizione fisica",null,"1 online resource (760 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15746"]
[null,null,"Disciplina",null,"005.3"]
[null,null,"Soggetti",null,"Application software"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Machine Learning for Complex Systems.  -- Runtime Anomaly Detection for Drones: An Integrated Rule Mining and Unsupervised Learning Approach.  -- FinPTA: An Effective Model for Financial Sentiment Analysis.  -- Single Image Defocus Deblurring in Photography Systems.  -- AMF GCN: An Adaptive Graph Convolution Network for Pull-up Evaluation.  -- A Q learning driven multi crossover NSGA II framework for energy efficient hybrid flow shop scheduling.  -- MixRecLGB: Language-Enhanced Mixed Attention for Temporal Context Modeling in Time Series Forecasting.  -- Trustworthy Deep Learning.  -- PAMUS: An Entropy Loss Based Poisoning Attack for Undermining Machine Unlearning.  -- Certified Enumeration of AI Explanations: A Focus on Monotonic Classifiers.  -- Random Resampling of Training Data for Effective Verification Strategy Prediction.  -- DeepMR: A Learning Based Approach for Efficient Mutation Reduction in DNN Fault Localization.  -- Investigating the OOV Problem and Its Impacts on Neural Program Repair  -- Edge Computing Systems.  -- Auction Based Caching Decision Algorithm for IoT Traffic with Popular and Fresh Content.  -- Maximizing Long term Task Completion Ratio of 3D UAV Enabled Wirelessly Powered MEC System.  -- Towards Efficient and Secure Multimodal Misinformation Detection.  -- Large Language Models for Software Engineering.  -- Leveraging Large Language Models for Feature Envy Detection: A Context Aware and Reasoning Driven Approach.  -- RustMap: Towards Project-Scale C to Rust Migration via Program Analysis and LLM.  -- Formal Methods.  -- LTL "]
[{"$nulls":4},"Model Checking of Concurrent Self Modifying Code.  -- Checking Linearizability of Multi Core Task Management and Scheduling System.  -- Contract based Verification of Digital Twins.  -- Verifying Neural Network Controlled Systems by Combining Taylor Models and Linear Abstract Domains.  -- Model Checking Nondeterministic Behaviours in the Tendermint Byzantine Fault Tolerant Blockchain Consensus Protocol.  -- Program Analysis.  -- Uncover the Risks of Outdated Dependencies in Software Supply Chains: Insights from the npm Ecosystem.  -- EMS HFL: A Hybrid based Fault Localization.  -- CONTAST: Graph Embedding based Fault Localization Integrating AST and Context Awareness.  -- Large Language Model Agents.  -- A Vision for Access Control in LLM Agent Systems.  -- Agent Behavior: The Regulatory Object of the Agent Centric Online Ecosystem in Digital Age.  -- Empowering Embodied Agents with Semantic Intelligence.  -- Large Language Models for Software Engineering.  -- An Analytical Perspective on Software Engineering for Large Language Models.  -- LiCoVer: LLM Powered Automated OSS License Compliance Verification.  -- UFPC: A Unified Framework for Source and Binary Program Comprehension.  -- TestCaseMig: LLM Driven Test Case Migration for Evolving Codebases.  -- Evolaris: A Roadmap to Self Evolving Software Intelligence Management."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 29th International Conference on Engineering of Complex Computer Systems, ICECCS 2025, which took place in Hangzhou, China, during July 2-4, 2025. The 21 full papers, 3 short papers and 8 position papers included in this book were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: Machine Learning for Complex Systems; Trustworthy Deep Learning; Edge Computing Systems; Large Language Models Empowered Software Engineering; Formal Methods; Program Analysis; Position Papers: Large Language Model Agents; Position Papers: Software Engineering for Large Language Models; and Position Papers: Large Language Models for Software Engineering. set programming; functional programming; languages, methods and tools; and declarative solutions."]