ICSE 2025 (series) / ICPC 2025 (series) / Research Track /
On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT
This program is tentative and subject to change.
Mon 28 Apr 2025 15:10 - 15:20 at 205 - Code Generation
AI assistants can help developers by recommending code to be included in their implementation (e.g., suggesting the implementation of a method from its signature). Although useful, these recommendations may mirror copyleft code available in public repositories, exposing developers to the risk of reusing code that they are allowed to reuse only under certain constraints (e.g., a specific license for the derivative software).
This paper presents a large-scale study about the frequency and magnitude of this phenomenon in ChatGPT. In particular, we generate more than 70,000 method implementations with a range of configurations and prompts, revealing that a larger context increases the likelihood of reproducing copyleft code, but higher temperature settings can mitigate this.
This program is tentative and subject to change.
Mon 28 AprDisplayed time zone: Eastern Time (US & Canada) change
Mon 28 Apr
Displayed time zone: Eastern Time (US & Canada) change
14:00 - 15:30 | |||
14:00 10mTalk | Code Ranking with Structure Awareness Contrastive Learning Research Track Hailin Huang South China University of Technology, Liuwen Cao South China University of Technology, Jiexin Wang South China University of Technology, Tianchen Yu School of Software Engineering, South China University of Technology, Yi Cai School of Software Engineering, South China University of Technology, Guangzhou, China | ||
14:10 10mTalk | Algorithmic Inversion: A Learnable Algorithm Representation for Code Generation Research Track zhongyi shi Chinese Academy of Science Institute of Software, fuzhang wu Chinese Academy of Science Institute of Software, weibin zeng Chinese Academy of Science Institute of Software, yan kong Chinese Academy of Science Institute of Software, sicheng shen Chinese Academy of Science Institute of Software, Yanjun Wu Institute of Software, Chinese Academy of Sciences | ||
14:20 10mTalk | Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT Research Track Benedetta Donato University of Milano - Bicocca, Leonardo Mariani University of Milano-Bicocca, Daniela Micucci University of Milano-Bicocca, Italy, Oliviero Riganelli University of Milano - Bicocca Pre-print | ||
14:30 10mTalk | Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation Research Track Cristina Improta University of Naples Federico II, Rosalia Tufano Università della Svizzera Italiana, Pietro Liguori University of Naples Federico II, Domenico Cotroneo University of Naples Federico II, Gabriele Bavota Software Institute @ Università della Svizzera Italiana | ||
14:40 10mTalk | Advancing Large Language Models in Code Generation: USACO Benchmark and Bug Mitigation Insights Research Track Jacob Trentini Monte Vista High School, Victor Liu Seven Lakes High School, Yiming Peng Vandegrift High School, Ziliang Zong Texas State University | ||
14:50 10mTalk | Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Research Track Alessandro Giagnorio Software Institute @ Università della Svizzera italiana, Alberto Martin-Lopez Software Institute - USI, Lugano, Gabriele Bavota Software Institute @ Università della Svizzera Italiana Pre-print | ||
15:00 10mTalk | COFT: Making Large Language Models Better zero-shot Learners for Code Generation Research Track Weijia Li Institute of Software, Chinese Academy of Sciences, Yongjie Qian Department of Computer Science, North China Electric Power University, Bao ding, Ke Gao Institute of Software, Chinese Academy of Sciences, Haixin Chen Institute of Computing Technology, Chinese Academy of Sciences, Xinyu Wang Institute of Software, Chinese Academy of Sciences, Yuchen Tong Institute of Computing Technology, Chinese Academy of Sciences, Ling Li Institute of Software, Chinese Academy of Sciences, Yanjun Wu Institute of Software, Chinese Academy of Sciences, Chen Zhao Institute of Software, Chinese Academy of Sciences | ||
15:10 10mTalk | On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Research Track Gaia Colombo University of Milano - Bicocca, Leonardo Mariani University of Milano-Bicocca, Daniela Micucci University of Milano-Bicocca, Italy, Oliviero Riganelli University of Milano - Bicocca Pre-print | ||
15:20 10mLive Q&A | Session's Discussion: "Code Generation" Research Track | ||