Search Results - Patanamon

Code Ownership: The Principles, Differences, and Their Associations with Software Quality by Thongtanunam, Patanamon, Tantithamthavorn, Chakkrit

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Encoding Version History Context for Better Code Representation by Nguyen, Huy, Treude, Christoph, Thongtanunam, Patanamon

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Open Source Software Development Tool Installation: Challenges and Strategies For Novice Developers by Salerno, Larissa, Treude, Christoph, Thongtatunam, Patanamon

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A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile by Pasuksmit, Jirat, Thongtanunam, Patanamon, Karunasekera, Shanika

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Enhancing Neural Code Representation with Additional Context by Nguyen, Huy, Treude, Christoph, Thongtanunam, Patanamon

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Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation by Liu, Chunhua, Lin, Hong Yi, Thongtanunam, Patanamon

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Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics by Liu, Chunhua, Lin, Hong Yi, Thongtanunam, Patanamon

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Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks by Khant, Kyi Shin, Lin, Hong Yi, Thongtanunam, Patanamon

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Breaking Changes in Software Ecosystems: A Systematic Literature Review by Chen, Juntao, Bi, Tingting, Wang, Yanlin, Thongtanunam, Patanamon

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Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses by Charoenwet, Wachiraphan, Thongtanunam, Patanamon, Pham, Van-Thuan, Treude, Christoph

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Improving Automated Code Reviews: Learning from Experience by Lin, Hong Yi, Thongtanunam, Patanamon, Treude, Christoph, Charoenwet, Wachiraphan

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An Empirical Study of Static Analysis Tools for Secure Code Review by Charoenwet, Wachiraphan, Thongtanunam, Patanamon, Pham, Van-Thuan, Treude, Christoph

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Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification by Nguyen, Linh, Liu, Chunhua, Lin, Hong Yi, Thongtanunam, Patanamon

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Enhancing Code Review through Fuzzing and Likely Invariants by Charoenwet, Wachiraphan, Thongtanunam, Patanamon, Pham, Van-Thuan, Treude, Christoph

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Automatically Recommend Code Updates: Are We There Yet? by Liu, Yue, Tantithamthavorn, Chakkrit, Liu, Yonghui, Thongtanunam, Patanamon, Li, Li

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From Release to Adoption: Challenges in Reusing Pre-trained AI Models for Downstream Developers by Banyongrakkul, Peerachai, Zahedi, Mansooreh, Thongtanunam, Patanamon, Treude, Christoph, Gao, Haoyu

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When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems by Banyongrakkul, Peerachai, Zahedi, Mansooreh, Treude, Christoph, Gao, Haoyu, Thongtanunam, Patanamon

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CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models by Lin, Hong Yi, Liu, Chunhua, Gao, Haoyu, Thongtanunam, Patanamon, Treude, Christoph

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Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision by Lin, Hong Yi, Liu, Chunhua, Gao, Haoyu, Thongtanunam, Patanamon, Treude, Christoph

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AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report by Oliveira, Eduardo, Fu, Michael, Thongtanunam, Patanamon, López-Pernas, Sonsoles, Saqr, Mohammed

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