ICSE 2025
Sat 26 April - Sun 4 May 2025 Ottawa, Ontario, Canada

In large-scale software development, understanding the functionality and intent behind complex codebases is critical for effective development and maintenance. While code summarization has been widely studied, existing methods primarily focus on smaller code units, such as functions, and struggle with larger code artifacts like files and packages. Additionally, current summarization models tend to emphasize low-level implementation details, often overlooking the domain and business context that are crucial for real-world applications. This paper proposes a two-step hierarchical approach for repository-level code summarization, tailored to business applications. First, smaller code units such as functions and variables are identified using syntax analysis and summarized with local LLMs. These summaries are then aggregated to generate higher-level file and package summaries. To ensure the summaries are grounded in business context, we design custom prompts that capture the intended purpose of code artifacts based on the domain and problem context of the business application. We evaluate our approach on a business support system (BSS) for the telecommunications domain, showing that syntax analysis-based hierarchical summarization improves coverage, while business-context grounding enhances the relevance of the generated summaries.

Sat 3 May

Displayed time zone: Eastern Time (US & Canada) change

16:00 - 17:30
Paper Session 4 / Virtual Talk / Award Session & ClosingLLM4Code at 214
Chair(s): Lingming Zhang University of Illinois at Urbana-Champaign
16:00
10m
Talk
Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets
LLM4Code
Mahmoud Jahanshahi University of Tennessee, Audris Mockus University of Tennessee
Pre-print
16:10
10m
Talk
Understanding Code Properties: Is Code All You Need?
LLM4Code
Srivishnu Pyda University of Maryland, Daniel Nichols University of Maryland, Abhinav Bhatele University of Maryland
16:20
10m
Talk
Analysis of Student-LLM Interaction in a Software Engineering Project
LLM4Code
Agrawal Naman National University of Singapore, Ridwan Salihin Shariffdeen National University of Singapore, Wang Guanlin National University of Singapore, Sanka Rasnayaka National University of Singapore, Ganesh Neelakanta Iyer National University of Singapore
16:30
10m
Talk
Training LLMs for Generating IEC 61131-3 Structured Text with Online Feedback
LLM4Code
Aaron Haag Siemens AG, Bertram Fuchs Siemens AG, Altay Kacan Siemens AG, Oliver Lohse Siemens AG
16:40
10m
Talk
Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning (Virtual Talk)
LLM4Code
Laura Puccioni Spotify, Alireza Farshin NVIDIA, Mariano Scazzariello RISE Research Institutes of Sweden, Changjie Wang KTH Royal Institute of Technology, Marco Chiesa KTH Royal Institute of Technology, Dejan Kostic KTH Royal Institute of Technology
Media Attached
16:40
10m
Talk
Is More or Less Automation Better? An Investigation into the LLM4TDD Process (Virtual Talk)
LLM4Code
Sanyogita Piya The University of Texas at Arlington, Anahita Samadi The University of Texas at Arlington, Allison Sullivan University of Texas at Arlington
16:40
10m
Talk
Knowledge Graph Based Repository-Level Code Generation (Virtual Talk)
LLM4Code
Mihir Athale Northeastern University, Vishal Vaddina Quantiphi Inc.
Media Attached
16:40
10m
Talk
Leveraging LLMs for Legacy Code Modernization: Evaluation of LLM-Generated Documentation (Virtual Talk)
LLM4Code
Colin Diggs MITRE Corporation, Michael Doyle MITRE Corporation, Amit Madan MITRE Corporation, Emily Escamilla MITRE Corporation, Siggy Scott MITRE Corporation, Jacob Zimmer MITRE Corporation, Naveed Nekoo MITRE Corporation, Paul Ursino MITRE Corporation, Michael Bartholf MITRE Corporation, Zachary Robin MITRE Corporation, Anand Patel MITRE Corporation, Chris Glasz MITRE Corporation, William Macke MITRE Corporation, Paul Kirk MITRE Corporation, Jasper Phillips MITRE Corporation, Arun Sridharan MITRE Corporation, Doug Wendt MITRE Corporation, Scott Rosen MITRE Corporation, Nitin Naik MITRE Corporation, Justin F. Brunelle MITRE Corporation, Samruddhi Thaker MITRE Corporation
Media Attached
16:40
10m
Talk
From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks (Virtual Talk)
LLM4Code
Mohammed Murtuza Shahzad Syed Northern Illinois University, Joseph Wilson Northern Illinois University, Ibrahim Al Azher Northern Illinois University, Hamed Alhoori Dept. of Computer Science at the Northern Illinois University, Mona Rahimi Dept. of Computer Science at the Northern Illinois University
Media Attached
16:40
10m
Talk
Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs (Virtual Talk)
LLM4Code
Nilesh Dhulshette TCS Research, Sapan Shah TCS Research, Vinay Kulkarni Tata Consultancy Services Research
Media Attached
16:40
10m
Talk
Code Summarization Beyond Function Level (Virtual Talk)
LLM4Code
Vladimir Makharev Innopolis University, AIRI, Vladimir Ivanov Innopolis University
Media Attached
16:40
10m
Talk
YABLoCo: Yet Another Benchmark for Long Context Code Generation (Virtual Talk)
LLM4Code
Aidar Valeev Innopolis University, Vladimir Ivanov Innopolis University, Roman Garaev Innopolis University, Vadim Lomshakov JetBrains, Irina Pionkovskaya Huawei Noah's Ark Lab, Israel Adewuyi Innopolis University
16:40
10m
Talk
CoCoNUT: Structural Code Understanding does not fall out of a tree (Virtual Talk)
LLM4Code
Claas Beger Cornell University, Saikat Dutta Cornell University
Pre-print Media Attached
16:40
10m
Talk
Do Code LLMs Understand Design Patterns? (Virtual Talk)
LLM4Code
Zhenyu Pan Northwestern University, Xuefeng Song Northwestern University, Yunkun Wang Zhejiang University, Rongyu Cao Tongyi Lab, Alibaba, China, Binhua Li Tongyi Lab, Alibaba, China, Yongbin Li Tongyi Lab, Alibaba, China, Han Liu Northwestern University
Media Attached
16:40
10m
Talk
From Scientific Texts to Verifiable Code: Automating the Process with Transformers (Virtual Talk)
LLM4Code
Changjie Wang KTH Royal Institute of Technology, Mariano Scazzariello RISE Research Institutes of Sweden, Marco Chiesa KTH Royal Institute of Technology
Media Attached
16:50
10m
Day closing
Award Session & Closing
LLM4Code