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An Empirical Study of Yanked Releases in the Rust Package Registry
Published in IEEE Transactions on Software Engineering (TSE), 2023
Empirical study investigating yanked releases in the Rust package ecosystem, analyzing patterns and impacts on software reliability and dependency management.
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The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
Published in arXiv, 2024
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Agentic Software Engineering: Foundational Pillars and a Research Roadmap
Published in arXiv, 2024
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Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
Published in IEEE Access, 2024
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Bridging the language gap: an empirical study of bindings for open source machine learning libraries across software package ecosystems
Published in Empirical Software Engineering (EMSE), 2024
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Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
Published in ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Empirical study examining how TensorFlow and PyTorch bindings affect machine learning software quality across different programming languages.
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Understanding Prompt Management in GitHub Repositories: A Call for Best Practices
Published in IEEE Software, 2025
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A Systematic Literature Review of Software Engineering Research on Jupyter Notebook
Published in Journal of Systems and Software (JSS), 2025
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From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
Published in arXiv, 2025
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HAFixAgent: History-Aware Automated Program Repair Agent
Published in arXiv, 2025
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Agentic Refactoring: An Empirical Study of AI Coding Agents
Published in arXiv, 2025
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Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Published in arXiv, 2025
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SwarmUpdate: Hierarchical Software Updates and Deep Learning Model Patching for Heterogeneous UAV Swarms
Published in arxiv, 2025
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Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models
Published in 2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), 2025
Research on software engineering and foundation models using industry blog analysis with LLM jury approach for comprehensive insights.
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An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic Applications
Published in Empirical Software Engineering (EMSE), 2026
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Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers
Published in ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
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Beyond Blame: Rethinking SZZ with Knowledge Graph Search
Published in arxiv, 2026
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Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions
Published in arxiv, 2026
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Mind the Merge: Evaluating the Effects of Token Merging on Pre-trained Models for Code
Published in SANER 2026 (Research Track), 2026
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Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversations
Published in IEEE Transactions on Software Engineering (TSE), 2026
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On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
Published in ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
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Can We Recycle Our Old Models? An Empirical Evaluation of Model Selection Mechanisms for AIOps Solutions
Published in Empirical Software Engineering (EMSE), 2026
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AIDev: Studying AI Coding Agents on GitHub
Published in MSR 2026 (Mining Challenge), 2026
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Do AI Coding Agents Log Like Humans? An Empirical Study
Published in arxiv, 2026
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Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity
Published in KDD 2026, 2026
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