| 2025 | 33rd IEEE/ACM International Conference on Program Comprehension, ICPC@ICSE 2025, Ottawa, ON, Canada, April 27-28, 2025 |
| 2025 | A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones. Hakam W. Alomari, Christopher Vendome, Himal Gyawali |
| 2025 | A Study on Applying Large Language Models to Issue Classification. Jueun Heo, Seonah Lee |
| 2025 | Advancing Large Language Models in Code Generation: Usaco Benchmark and Bug Mitigation Insights. Jacob Trentini, Victor Liu, Yiming Peng, Ziliang Zong |
| 2025 | Ai-Based Automated Grading of Source Code of Introductory Programming Assignments. Jayant Havare, Varsha Apte, Kaushikraj Maharajan, Nithin Chandra Gupta Samudrala, Ganesh Ramakrishnan, Srikanth Tamilselvam, Sainath Vavilapalli |
| 2025 | Algorithmic Inversion: A Learnable Algorithm Representation for Code Generation. Zhongyi Shi, Fuzhang Wu, Weibin Zeng, Yan Kong, Sicheng Shen, Yanjun Wu |
| 2025 | Attributed Multiplex Learning for Analogical Third-Party Library Recommendation and Retrieval. Baihui Sang, Liang Wang, Jierui Zhang, XianPing Tao |
| 2025 | Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMS. Alessandro Midolo, Massimiliano Di Penta |
| 2025 | Building Bridges, Not Walls: Fairness-Aware and Accurate Recommendation of Code Reviewers via LLm-Based Agents Collaboration. Luqiao Wang, Qingshan Li, Di Cui, Mingkang Wang, Yutong Zhao, Yongye Xu, Huiying Zhuang, Yangtao Zhou, Lu Wang |
| 2025 | CLCoSum: Curriculum Learning-Based Code Summarization for Code Language Models. Hongkui He, Jiexin Wang, Liuwen Cao, Yi Cai |
| 2025 | Calmdroid: Core-Set Based Active Learning for Multi-Label Android Malware Detection. Minhong Dong, Liyuan Liu, Mengting Zhang, Sen Chen, Wenying He, Ze Wang, Yude Bai |
| 2025 | Characterizing Bugs in Login Processes of Android Applications: An Empirical Study. Zixu Zhou, Rufeng Chen, Junfeng Chen, Yepang Liu, Lili Wei |
| 2025 | Cmdesum: A Cross-Modal Deliberation Network for Code Summarization. Zhifang Liao, Xiaoyu Liu, Peng Lan, Song Yu, Pei Liu |
| 2025 | Code Ranking with Structure Awareness Contrastive Learning. Hailin Huang, Liuwen Cao, Jiexin Wang, Tianchen Yu, Yi Cai |
| 2025 | Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories. Pavlína Wurzel Gonçalves, Pooja Rani, Margaret-Anne D. Storey, Diomidis Spinellis, Alberto Bacchelli |
| 2025 | Coft: Making Large Language Models Better Zero-Shot Learners for Code Generation. Weijia Li, Yongjie Qian, Ke Gao, Haixin Chen, Xinyu Wang, Yuchen Tong, Ling Li, Yanjun Wu, Chen Zhao |
| 2025 | Combining Language and App Ui Analysis for the Automated Assessment of Bug Reproduction Steps. Junayed Mahmud, Antu Saha, Oscar Chaparro, Kevin Moran, Andrian Marcus |
| 2025 | Combining Static Analysis Techniques for Program Comprehension Using Slicito. Robert Husák, Jan Kofron, Filip Zavoral |
| 2025 | DLCoG: A Novel Framework for Dual-Level Code Comment Generation Based on Semantic Segmentation and In-Context Learning. Zhiyang Zhang, Haiyang Yang, Qingyang Yan, Hao Yan, Weihuan Min, Zhao Wei, Li Kuang, Yingjie Xia |
| 2025 | Developing a Taxonomy for Advanced Log Parsing Techniques. Issam Sedki, Abdelwahab Hamou-Lhadj, Otmane Aït Mohamed, Naser Ezzati-Jivan |
| 2025 | Divergence-Driven Debugging: Understanding Behavioral Changes Between Two Program Versions. Rémi Dufloer, Imen Sayar, Anne Etien, Steven Costiou |
| 2025 | Effectively Modeling UI Transition Graphs for Android Apps Via Reinforcement Learning. Wunan Guo, Zhen Dong, Liwei Shen, Daihong Zhou, Bin Hu, Chen Zhang, Hai Xue |
| 2025 | Enhancing Code Generation for Low-Resource Languages: No Silver Bullet. Alessandro Giagnorio, Alberto Martin-Lopez, Gabriele Bavota |
| 2025 | Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations. Pablo Valenzuela-Toledo, Chuyue Wu, Sandro Hernández, Alexander Boll, Roman Machácek, Sebastiano Panichella, Timo Kehrer |
| 2025 | Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists. Alyssia Chen, Carol Wong, Bonita Sharif, Anthony Peruma |
| 2025 | Extracting Formal Specifications From Documents Using LLMS for Test Automation. Hui Li, Zhen Dong, Siao Wang, Hui Zhang, Liwei Shen, Xin Peng, Dongdong She |
| 2025 | GELog: a GPT-Enhanced Log Representation Method for Anomaly Detection. Wenwu Xu, Peng Wang, Haichao Shi, Guoqiao Zhou, Junliang Yao, Xiao-Yu Zhang |
| 2025 | How Do Papers Make Into Machine Learning Frameworks: a Preliminary Study on Tensorflow. Federica Pepe, Claudia Farkas, Maleknaz Nayebi, Giuliano Antoniol, Massimiliano Di Penta |
| 2025 | Improved IR-Based Bug Localization with Intelligent Relevance Feedback. Asif Mohammed Samir, Mohammad Masudur Rahman |
| 2025 | Investigating Execution-Aware Language Models for Code Optimization. Federico Di Menna, Luca Traini, Gabriele Bavota, Vittorio Cortellessa |
| 2025 | JavaWiz: A Trace-Based Graphical Debugger for Software Development Education. Markus Weninger, Simon Grünbacher, Herbert Prähofer |
| 2025 | Kotsuite: Unit Test Generation for Kotlin Programs in Android Applications. Feng Yang, Qi Xin, Zhilei Ren, Jifeng Xuan |
| 2025 | LLM-BL: Large Language Models are Zero-Shot Rankers for Bug Localization. Zhengliang Li, Zhiwei Jiang, Qiguo Huang, Qing Gu |
| 2025 | LLM2FedLLM - A Tool for Simulating Federated LLMs for Software Engineering Tasks. Jahnavi Kumar, Siddhartha Gandu, Sridhar Chimalakonda |
| 2025 | Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks. Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi |
| 2025 | Leveraging Context Information for Self-Admitted Technical Debt Detection. Miki Yonekura, Yutaro Kashiwa, Bin Lin, Kenji Fujiwara, Hajimu Iida |
| 2025 | Leveraging Multi-Task Learning to Improve the Detection of SATD and Vulnerability. Barbara Russo, Jorge Melegati, Moritz Mock |
| 2025 | Log Parsing Using LLMs with Self-Generated In-Context Learning and Self-Correction. Yifan Wu, Siyu Yu, Ying Li |
| 2025 | Method Names in Jupyter Notebooks: An Exploratory Study. Carol Wong, Gunnar Larsen, Rocky Huang, Bonita Sharif, Anthony Peruma |
| 2025 | Mining Code Change Patterns in Ada Projects. Robin van Straeten, Bin Lin |
| 2025 | On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT. Gaia Colombo, Leonardo Mariani, Daniela Micucci, Oliviero Riganelli |
| 2025 | Optimizing Code Runtime Performance Through Context-Aware Retrieval-Augmented Generation. Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang |
| 2025 | Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Antonio Vitale, Antonio Mastropaolo, Rocco Oliveto, Massimiliano Di Penta, Simone Scalabrino |
| 2025 | Overlord: A C++ Overloading Inspector. Botond István Horváth, Richárd Szalay, Zoltán Porkoláb |
| 2025 | Personalized Code Readability Assessment: Are We There Yet? Antonio Vitale, Emanuela Guglielmi, Rocco Oliveto, Simone Scalabrino |
| 2025 | Pinpointing the Learning Obstacles of an Interactive Theorem Prover. Sára Juhosová, Andy Zaidman, Jesper Cockx |
| 2025 | Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation. Cristina Improta, Rosalia Tufano, Pietro Liguori, Domenico Cotroneo, Gabriele Bavota |
| 2025 | Revisiting Security Practices for Github Actions Workflows. Jiangnan Huang, Bin Lin |
| 2025 | Scalar: A Part-of-Speech Tagger for Identifiers. Christian D. Newman, Brandon Scholten, Sophia Testa, Joshua A. C. Behler, Syreen Banabilah, Michael L. Collard, Michael John Decker, Mohamed Wiem Mkaouer, Marcos Zampieri, Eman Abdullah AlOmar, Reem S. Alsuhaibani, Anthony Peruma, Jonathan I. Maletic |
| 2025 | Sembug: Detecting Logic Bugs in Dbms Through Generating Semantic-Aware Non-Optimizing Query. Shiyang Ye, Chao Ni, Jue Wang, Qianqian Pang, Xinrui Li, Xiaodan Xu |
| 2025 | Students' Program Comprehension Processes in a Large Code Base. Anshul Shah, Thanh Tong, Elena Tomson, Steven Shi, William G. Griswold, Adalbert Gerald Soosai Raj |
| 2025 | Studying How Configurations Impact Code Generation in LLMs: The Case of ChatGPT. Benedetta Donato, Leonardo Mariani, Daniela Micucci, Oliviero Riganelli |
| 2025 | Telling Software Evolution Stories with Sonification. Carmen Armenti, Michele Lanza |
| 2025 | Terminal Lucidity: Envisioning the Future of the Terminal. Michael MacInnis, Olga Baysal, Michele Lanza |
| 2025 | Toward Neurosymbolic Program Comprehension. Alejandro Velasco, Aya Garryyeva, David N. Palacio, Antonio Mastropaolo, Denys Poshyvanyk |
| 2025 | Towards Enhancing IR-Based Bug Localization Leveraging Texts and Multimedia from Bug Reports. Shamima Yeasmin, Chanchal K. Roy, Kevin A. Schneider, Mohammad Masudur Rahman, Kartik Mittal, Ryder Hardy |
| 2025 | Towards Generating the Rationale for Code Changes. Francesco Casillo, Antonio Mastropaolo, Gabriele Bavota, Vincenzo Deufemia, Carmine Gravino |
| 2025 | Towards Task-Harmonious Vulnerability Assessment Based on LLM. Zaixing Zhang, Jianming Chang, Tianyuan Hu, Lulu Wang, Bixin Li |
| 2025 | Understanding Data Access in Microservices Applications Using Interactive Treemaps. Maxime André, Marco Raglianti, Anthony Cleve, Michele Lanza |
| 2025 | Using Large Language Models to Generate Concise and Understandable Test Case Summaries. Natanael Djajadi, Amirhossein Deljouyi, Andy Zaidman |