ICSE 2026 (series) / New Ideas and Emerging Results (NIER) / Leveraging Design-Aware Context in Large Language Models for Code Comment Generation
Leveraging Design-Aware Context in Large Language Models for Code Comment Generation
Thu 16 Apr 2026 14:15 - 14:30 at Europa II - AI for Software Engineering 15 Chair(s): Christian Bird
Comments are very useful to the flow of code development. With the increasing commonality of code, novice coders have been creating a significant amount of codebases. Due to lack of commenting standards, their comments are often useless, and increase the time taken to further maintain codes. This study intends to find the usefulness of large language models (LLMs) in these cases to generate potentially better comments. This study focuses on the feasibility of design documents as a context for the LLMs to generate more useful comments, as design documents are often used by maintainers to understand code when comments do not suffice.
Thu 16 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
Thu 16 Apr
Displayed time zone: Brasilia, Distrito Federal, Brazil change
14:00 - 15:30 | AI for Software Engineering 15New Ideas and Emerging Results (NIER) / Research Track at Europa II Chair(s): Christian Bird Microsoft Research | ||
14:00 15mTalk | SCLA: Automated Smart Contract Summarization via LLMs and Control Flow Prompt New Ideas and Emerging Results (NIER) Xiaoqi Li Hainan University, Yingjie Mao Hainan University, Zexin Lu Hong Kong Polytechnic University, Wenkai Li Hainan University, Zongwei Li Hainan University | ||
14:15 15mTalk | Leveraging Design-Aware Context in Large Language Models for Code Comment Generation New Ideas and Emerging Results (NIER) Aritra Mitra Indian Institute of Technology Kharagpur, Srijoni Majumdar University of Leeds, Anamitra Mukhopadhyay Indian Institute of Technology Kharagpur, Partha Pratim Das Ashoka University, Paul Clough University of Sheffield, Partha Pratim Chakrabarti Indian Institute of Technology, Kharagpur | ||
14:30 15mTalk | From Execution to Embedding: Enriching Code Representations with Data Difference Signals for Comment Generation New Ideas and Emerging Results (NIER) Giacomo Fantino Politecnico di Torino, Italy, Antonio Vetrò Politecnico di Torino, Marco Torchiano Politecnico di Torino, Federica Cappelluti Politecnico di Torino, Italy | ||
14:45 15mTalk | Towards Bridging Language Gaps in OSS with LLM-Driven Documentation Translation New Ideas and Emerging Results (NIER) Elijah Kayode Adejumo George Mason University, Mariam Guizani Queen's University, Canada, Fatemeh Vares George Mason University, Brittany Johnson George Mason University Pre-print Media Attached | ||
15:00 15mTalk | Automating API Documentation from Crowdsourced Knowledge Research Track Bonan Kou Purdue University, Zijie Zhou University of Illinois Urbana-Champaign, Muhao Chen University of Southern California, Tianyi Zhang Purdue University | ||
15:15 15mTalk | UniCoR: Modality Collaboration for Robust Cross-Language Hybrid Code RetrievalDistinguished Paper Award Research Track Yang Yang Central South University, China, Li Kuang Centrel South University, Jiakun Liu Harbin Institute of Technology, Zhongxin Liu Zhejiang University, Yingjie Xia Hangzhou Dianzi University, David Lo Singapore Management University | ||