arXiv cs.SE Software Engineering

Binquan Zhang, Li Zhang, Lin Shi, Song Wang, Yuwei Qian, Linhui Zhao, Fang Liu, An Fu, Yida Ye: An Empirical Study of Interaction Smells in Multi-Turn Human-LLM Collaborative Code Generation https://arxiv.org/abs/2603.09701 https://arxiv.org/pdf/2603.09701 https://arxiv.org/html/2603.09701

Andreas Rausch, Stefan Wittek, Tobias Geger, David Inkermann: Preparing Students for AI-Driven Agile Development: A Project-Based AI Engineering Curriculum https://arxiv.org/abs/2603.09599 https://arxiv.org/pdf/2603.09599 https://arxiv.org/html/2603.09599

Maximilian Harnot, Sebastian Komarnicki, Michal Polok, Timo Oksanen: EmbC-Test: How to Speed Up Embedded Software Testing Using LLMs and RAG https://arxiv.org/abs/2603.09497 https://arxiv.org/pdf/2603.09497 https://arxiv.org/html/2603.09497

Oleksandr Kosenkov: Towards Viewpoint-centric Artifact-based Regulatory Requirements Engineering for Compliance by Design https://arxiv.org/abs/2603.09492 https://arxiv.org/pdf/2603.09492 https://arxiv.org/html/2603.09492

Kosenkov, Blaschke, Gorschek, Unterkalmsteiner, Adamov, Fucci: Experience Report on the Adaptable Integration of Requirements Engineering Courses into Curricula for Professionals https://arxiv.org/abs/2603.09467 https://arxiv.org/pdf/2603.09467 https://arxiv.org/html/2603.09467

Ezio Bartocci, Alessio Gambi, Felix Gigler, Cristinel Mateis, Dejan Ni\v{c}kovi\'c: Declarative Scenario-based Testing with RoadLogic https://arxiv.org/abs/2603.09455 https://arxiv.org/pdf/2603.09455 https://arxiv.org/html/2603.09455

Alex R. Mattukat, Florian M. Braun, Horst Lichter: Can ChatGPT Generate Realistic Synthetic System Requirement Specifications? Results of a Case Study https://arxiv.org/abs/2603.09335 https://arxiv.org/pdf/2603.09335 https://arxiv.org/html/2603.09335

Di, Yuan, Guo, Ouyang, Chen, Yue, Zheng, Zhu, Pan, Yin, Zhang, Rui: ToolRosetta: Bridging Open-Source Repositories and Large Language Model Agents through Automated Tool Standardization https://arxiv.org/abs/2603.09290 https://arxiv.org/pdf/2603.09290 https://arxiv.org/html/2603.09290

Jackson Nguyen, Rui En Koe, Fanyu Wang, Chetan Arora, Alessio Ferrari: Class Model Generation from Requirements using Large Language Models https://arxiv.org/abs/2603.09100 https://arxiv.org/pdf/2603.09100 https://arxiv.org/html/2603.09100

Kelly Blincoe, Sherlock A. Licorish, Judith Fuchs, Amjed Tahir: The Future of Software Engineering Conferences: A New Zealand Perspective https://arxiv.org/abs/2603.09035 https://arxiv.org/pdf/2603.09035 https://arxiv.org/html/2603.09035

Janakan Sivaloganathan, Ainaz Jamshidi, Andriy Miranskyy, Lei Zhang: Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software https://arxiv.org/abs/2603.09029 https://arxiv.org/pdf/2603.09029 https://arxiv.org/html/2603.09029

Bassam Adnan, Matteo Esposito, Davide Taibi, Karthik Vaidhyanathan: Can AI Agents Generate Microservices? How Far are We? https://arxiv.org/abs/2603.09004 https://arxiv.org/pdf/2603.09004 https://arxiv.org/html/2603.09004

Tony Mason: Arbiter: Detecting Interference in LLM Agent System Prompts https://arxiv.org/abs/2603.08993 https://arxiv.org/pdf/2603.08993 https://arxiv.org/html/2603.08993

Neil A. Ernst, Christoph Treude: GenAI Is No Silver Bullet for Qualitative Research in Software Engineering https://arxiv.org/abs/2603.08951 https://arxiv.org/pdf/2603.08951 https://arxiv.org/html/2603.08951

Tzafrir Rehan: Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications https://arxiv.org/abs/2603.08806 https://arxiv.org/pdf/2603.08806 https://arxiv.org/html/2603.08806

[2026-03-11 Wed (UTC), 15 new articles found for csSE Software Engineering]

Ben Rank, Hardik Bhatnagar, Ameya Prabhu, Shira Eisenberg, Karina Nguyen, Matthias Bethge, Maksym Andriushchenko: PostTrainBench: Can LLM Agents Automate LLM Post-Training? https://arxiv.org/abs/2603.08640 https://arxiv.org/pdf/2603.08640 https://arxiv.org/html/2603.08640

Nils Loose, Nico Winkel, Kristoffer Hempel, Felix M\"achtle, Julian Hans, Thomas Eisenbarth: Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing https://arxiv.org/abs/2603.08616 https://arxiv.org/pdf/2603.08616 https://arxiv.org/html/2603.08616

Fabian Stiehle, Markus Funke, Patricia Lago, Ingo Weber: Designing Value-Based Platforms: Architectural Strategies Derived from the Digital Markets Act https://arxiv.org/abs/2603.08372 https://arxiv.org/pdf/2603.08372 https://arxiv.org/html/2603.08372

Outmani, Shenoy, Hatahet, Rausch, Kniep, Raddatz, King: Human-AI Collaboration for Scaling Agile Regression Testing: An Agentic-AI Teammate from Manual to Automated Testing https://arxiv.org/abs/2603.08190 https://arxiv.org/pdf/2603.08190 https://arxiv.org/html/2603.08190

Mohammad Abboush, Ehab Ghannoum, Andreas Rausch: An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation https://arxiv.org/abs/2603.08165 https://arxiv.org/pdf/2603.08165 https://arxiv.org/html/2603.08165

Xin-Cheng Wen, Binbin Chen, Haoxuan Lan, Hang Yu, Peng Di, Cuiyun Gao: SWE-Fuse: Empowering Software Agents via Issue-free Trajectory Learning and Entropy-aware RLVR Training https://arxiv.org/abs/2603.07927 https://arxiv.org/pdf/2603.07927 https://arxiv.org/html/2603.07927

Jia Wei, Xin Su, Chun Ouyang: IOTEL: A Tool for Generating IoT-enriched Object-Centric Event Logs https://arxiv.org/abs/2603.07906 https://arxiv.org/pdf/2603.07906 https://arxiv.org/html/2603.07906

Ronnie de Souza Santos, Maria Teresa Baldassarre, Cleyton Magalhaes: The role of team diversity in AI systems development https://arxiv.org/abs/2603.07749 https://arxiv.org/pdf/2603.07749 https://arxiv.org/html/2603.07749

Anh H. N. Nguyen, Jack Le, Ilse Lahnstein Coronado, Tien N. Nguyen: The Effect of Code Obfuscation on Human Program Comprehension https://arxiv.org/abs/2603.07668 https://arxiv.org/pdf/2603.07668 https://arxiv.org/html/2603.07668

Jiazhen Kang, Yuchen Lu, Chen Jiang, Jinrui Liu, Tianhao Zhang, Bo Jiang, Ningyuan Sun, Tongtong Wu, Guilin Qi: KCoEvo: A Knowledge Graph Augmented Framework for Evolutionary Code Generation https://arxiv.org/abs/2603.07581 https://arxiv.org/pdf/2603.07581 https://arxiv.org/html/2603.07581

Yixi Lin, Jiangrong Wu, Yuhong Nan, Xueqiang Wang, Xinyuan Zhang, Zibin Zheng: AgentRaft: Automated Detection of Data Over-Exposure in LLM Agents https://arxiv.org/abs/2603.07557 https://arxiv.org/pdf/2603.07557 https://arxiv.org/html/2603.07557

Zhang, Fang, Hu, Zhao, Sun, Yang, Zheng, Chen: On the Effectiveness of Code Representation in Deep Learning-Based Automated Patch Correctness Assessment https://arxiv.org/abs/2603.07520 https://arxiv.org/pdf/2603.07520 https://arxiv.org/html/2603.07520

Matheus de Morais Leca, Kim Johnston, Ronnie de Souza Santos: Empathy in Software Engineering Education: Evidence, Practices, and Opportunities https://arxiv.org/abs/2603.07421 https://arxiv.org/pdf/2603.07421 https://arxiv.org/html/2603.07421

Juliane Pascoal, Cleytton Magalhaes, Ronnie de Souza Santos: Regression Testing in Remote and Hybrid Software Teams: An Exploratory Study of Processes, Tools, and Practices https://arxiv.org/abs/2603.07419 https://arxiv.org/pdf/2603.07419 https://arxiv.org/html/2603.07419