arXiv cs.SE Software Engineering

Tanish Singla, Qusay H. Mahmoud: Generative AI in Software Testing: Current Trends and Future Directions https://arxiv.org/abs/2603.02141 https://arxiv.org/pdf/2603.02141 https://arxiv.org/html/2603.02141

Liang, Chen, Tian, Tan, Xu, Qu, Zhao, Shang, Tan: MetaRCA: A Generalizable Root Cause Analysis Framework for Cloud-Native Systems Powered by Meta Causal Knowledge https://arxiv.org/abs/2603.02032 https://arxiv.org/pdf/2603.02032 https://arxiv.org/html/2603.02032

Shubham Ugare, Satish Chandra: Agentic Code Reasoning https://arxiv.org/abs/2603.01896 https://arxiv.org/pdf/2603.01896 https://arxiv.org/html/2603.01896

Mingwei Liu, Zhenxi Chen, Zheng Pei, Zihao Wang, Yanlin Wang, Zibin Zheng: Architecture-Aware Multi-Design Generation for Repository-Level Feature Addition https://arxiv.org/abs/2603.01814 https://arxiv.org/pdf/2603.01814 https://arxiv.org/html/2603.01814

Matthias Kebede, May Mahmoud, Mohayeminul Islam, Sarah Nadi: MigMate: A VS Code Extension for LLM-based Library Migration of Python Projects https://arxiv.org/abs/2603.01596 https://arxiv.org/pdf/2603.01596 https://arxiv.org/html/2603.01596

Patricia Lago, Marcel Boehme, Markus Funke: ICSE 2022 Sustainability Report https://arxiv.org/abs/2603.01541 https://arxiv.org/pdf/2603.01541 https://arxiv.org/html/2603.01541

Jukka Ruohonen, Esmot Ara Tuli, Hiraku Morita: Compliance as Code: A Study of Linux Distributions and Beyond https://arxiv.org/abs/2603.01520 https://arxiv.org/pdf/2603.01520 https://arxiv.org/html/2603.01520

Manisha Mukherjee, Vincent J. Hellendoorn: Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision https://arxiv.org/abs/2603.01494 https://arxiv.org/pdf/2603.01494 https://arxiv.org/html/2603.01494

Ruihan Wang, Chencheng Guo, Guangjing Wang: Production-Grade AI Coding System for Client-Side Development https://arxiv.org/abs/2603.01460 https://arxiv.org/pdf/2603.01460 https://arxiv.org/html/2603.01460

Santos, Xavier, de Oliveira Carneiro, de Souza: PymooLab: An Open-Source Visual Analytics Framework for Multi-Objective Optimization using LLM-Based Code Generation and MCDM https://arxiv.org/abs/2603.01345 https://arxiv.org/pdf/2603.01345 https://arxiv.org/html/2603.01345

Kang He, Kaushik Roy: SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution https://arxiv.org/abs/2603.01327 https://arxiv.org/pdf/2603.01327 https://arxiv.org/html/2603.01327

Haochen Liang, Jiawei Chen, Hideya Ochiai: NeuroSCA: Neuro-Symbolic Constraint Abstraction for Smart Contract Hybrid Fuzzing https://arxiv.org/abs/2603.01272 https://arxiv.org/pdf/2603.01272 https://arxiv.org/html/2603.01272

Zhongqiang Pan, Chuanyi Li, Wenkang Zhong, Yi Feng, Bin Luo, Vincent Ng: RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repair https://arxiv.org/abs/2603.01048 https://arxiv.org/pdf/2603.01048 https://arxiv.org/html/2603.01048

Zhonghang Li, Zongwei Li, Yuxuan Chen, Han Shi, Jiawei Li, Jierun Chen, Haoli Bai, Chao Huang: FastCode: Fast and Cost-Efficient Code Understanding and Reasoning https://arxiv.org/abs/2603.01012 https://arxiv.org/pdf/2603.01012 https://arxiv.org/html/2603.01012

Sabiya Banu Masthan Ali, Oussema Kirmani, Syed Muhammad Danish, Gautam Srivastava: Sustainable Code Generation Using Large Language Models: A Systematic Literature Review https://arxiv.org/abs/2603.00989 https://arxiv.org/pdf/2603.00989 https://arxiv.org/html/2603.00989

Cheng Cheng: Detect Repair Verify for Securing LLM Generated Code: A Multi-Language Empirical Study https://arxiv.org/abs/2603.00897 https://arxiv.org/pdf/2603.00897 https://arxiv.org/html/2603.00897

Elzo Brito dos Santos Filho: PARCER as an Operational Contract to Reduce Variance, Cost, and Risk in LLM Systems https://arxiv.org/abs/2603.00856 https://arxiv.org/pdf/2603.00856 https://arxiv.org/html/2603.00856

Reshabh K Sharma: ContextCov: Deriving and Enforcing Executable Constraints from Agent Instruction Files https://arxiv.org/abs/2603.00822 https://arxiv.org/pdf/2603.00822 https://arxiv.org/html/2603.00822

Lakmal Deshapriya, Sherlock A. Licorish, Brendon J. Woodford: Taking a Closer Look at Warnings Generated by PMD and SonarQube, their Rules and Compliance to Established Coding Standards https://arxiv.org/abs/2603.00821 https://arxiv.org/pdf/2603.00821 https://arxiv.org/html/2603.00821

Sahand Moslemi, Mayasah Lami, Anil Koyuncu: Historian: Reducing Manual Validation in APR Benchmarking via Evidence-Based Assessment https://arxiv.org/abs/2603.00649 https://arxiv.org/pdf/2603.00649 https://arxiv.org/html/2603.00649

Grigory Sapunov: Theory of Code Space: Do Code Agents Understand Software Architecture? https://arxiv.org/abs/2603.00601 https://arxiv.org/pdf/2603.00601 https://arxiv.org/html/2603.00601

Haomin Qi, Bohan Liu, Zihan Dai, Yunkai Gao: TopoEdge: Topology-Grounded Agentic Framework for Edge Networking Code Generation and Repair https://arxiv.org/abs/2603.00569 https://arxiv.org/pdf/2603.00569 https://arxiv.org/html/2603.00569

Haolin Jin, Huaming Chen: Are LLMs Reliable Code Reviewers? Systematic Overcorrection in Requirement Conformance Judgement https://arxiv.org/abs/2603.00539 https://arxiv.org/pdf/2603.00539 https://arxiv.org/html/2603.00539

Yu, Cao, Zhang, Lin, Xu, Zhong, Xu, Wang, Cao, Cheung, He, Briand: SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark https://arxiv.org/abs/2603.00520 https://arxiv.org/pdf/2603.00520 https://arxiv.org/html/2603.00520

Haoyu Gao, Hong Yi Lin, Christoph Treude, Gregory Gay, Mansooreh Zahedi: Does My README File Need To Be Updated? Exploring LLM-Based README Maintenance https://arxiv.org/abs/2603.00489 https://arxiv.org/pdf/2603.00489 https://arxiv.org/html/2603.00489

Yilun Wang, Guangba Yu, Haiyu Huang, Zirui Wang, Yujie Huang, Pengfei Chen, Michael R. Lyu: Cloud-OpsBench: A Reproducible Benchmark for Agentic Root Cause Analysis in Cloud Systems https://arxiv.org/abs/2603.00468 https://arxiv.org/pdf/2603.00468 https://arxiv.org/html/2603.00468

Berk \c{C}akar, Dongyoon Lee, James C. Davis: Towards the Systematic Testing of Regular Expression Engines https://arxiv.org/abs/2603.00311 https://arxiv.org/pdf/2603.00311 https://arxiv.org/html/2603.00311

H. Sinan Bank, Daniel R. Herber: GENAI WORKBENCH: AI-Assisted Analysis and Synthesis of Engineering Systems from Multimodal Engineering Data https://arxiv.org/abs/2603.00251 https://arxiv.org/pdf/2603.00251 https://arxiv.org/html/2603.00251

Knut-Andreas Lie, Olav M{\o}yner, Elling Svee, Jakob Torben: Agentic Scientific Simulation: Execution-Grounded Model Construction and Reconstruction https://arxiv.org/abs/2603.00214 https://arxiv.org/pdf/2603.00214 https://arxiv.org/html/2603.00214

Jialin Li, Yuan Wu, Yi Chang: ClarEval: A Benchmark for Evaluating Clarification Skills of Code Agents under Ambiguous Instructions https://arxiv.org/abs/2603.00187 https://arxiv.org/pdf/2603.00187 https://arxiv.org/html/2603.00187