Demystifying the Evolution of Neural Networks with BOM Analysis: Insights from a Large-Scale Study of 55,997 GitHub Repositories
This program is tentative and subject to change.
Neural networks have become integral to many fields due to their exceptional performance. The open-source community has witnessed a rapid influx of neural network (NN) repositories with fast-paced iterations, making it crucial for practitioners to analyze their evolution to guide development and stay ahead of trends. While extensive research has explored traditional software evolution using Software Bill of Materials (SBOMs), these are ill-suited for NN software, which relies on pre-defined modules and pre-trained models (PTMs) with distinct component structures and reuse patterns. Conceptual AI Bills of Materials (AIBOMs) also lack practical implementations for large-scale evolutionary analysis. To fill this gap, we introduce the Neural Network Bill of Material (NNBOM), a comprehensive dataset construct tailored for NN software. We create a large-scale NNBOM database from 55,997 curated PyTorch GitHub repositories, cataloging their TPLs, PTMs, and modules. Leveraging this database, we conduct a comprehensive empirical study of neural network software evolution across software scale, component reuse, and inter-domain dependency, providing maintainers and developers with a holistic view of its long-term trends. Building on these findings, we develop two prototype applications, \textit{Multi repository Evolution Analyzer} and \textit{Single repository Component Assessor and Recommender}, to demonstrate the practical value of our analysis.
This program is tentative and subject to change.
Tue 18 NovDisplayed time zone: Seoul change
14:00 - 15:30 | |||
14:00 10mTalk | Enhancing LLMs with Staged Grouping and Dehallucination for Header File Decomposition Research Papers Yue Wang Peking University, Jiaxuan Sun Peking University, Yanzhen Zou Peking University, Bing Xie Peking University | ||
14:10 10mResearch paper | Speculative Automated Refactoring of Imperative Deep Learning Programs to Graph Execution Research Papers Raffi Khatchadourian CUNY Hunter College, Tatiana Castro Vélez University of Puerto Rico, Rio Piedras Campus, Mehdi Bagherzadeh Oakland University, Nan Jia City University of New York (CUNY) Graduate Center, Anita Raja City University of New York (CUNY) Hunter College Pre-print Media Attached | ||
14:20 10mTalk | An Empirical Study of Python Library Migration Using Large Language Models Research Papers Mohayeminul Islam University of Alberta, Ajay Jha North Dakota State University, May Mahmoud New York University Abu Dhabi, Ildar Akhmetov Northeastern University, Sarah Nadi New York University Abu Dhabi | ||
14:30 10mTalk | Measuring the Impact of Predictive Models on the Software Project: A Cost, Service Time, and Risk Evaluation of a Metric-based Defect Severity Prediction Model Journal-First Track Umamaheswara Sharma B National Institute of Technology, Calicut, Ravichandra Sadam National Institute of Technology Warangal | ||
14:40 10mTalk | Demystifying the Evolution of Neural Networks with BOM Analysis: Insights from a Large-Scale Study of 55,997 GitHub Repositories Research Papers xiaoning ren , Yuhang Ye University of Science and Technology of China, Xiongfei Wu University of Luxembourg, Yueming Wu Huazhong University of Science and Technology, Yinxing Xue Institute of AI for Industries, Chinese Academy of Sciences | ||
14:50 10mTalk | Fact-Aligned and Template-Constrained Static Analyzer Rule Enhancement with LLMs Research Papers Zongze Jiang Huazhong University of Science and Technology, Ming Wen Huazhong University of Science and Technology, Ge Wen Huazhong University of Science and Technology, Hai Jin Huazhong University of Science and Technology | ||
15:00 10mTalk | MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Research Papers Yibo Wang Northeastern University, Zhihao Peng Northeastern University, Ying Wang Northeastern University, Zhao Wei Tencent, Hai Yu Northeastern University, China, Zhiliang Zhu Northeastern University, China | ||
15:10 10mTalk | Software Reconfiguration in Robotics Journal-First Track Patrizio Pelliccione Gran Sasso Science Institute, L'Aquila, Italy, Sven Peldszus IT University of Copenhagen, Davide Brugali University of Bergamo, Italy, Daniel Strüber Chalmers | University of Gothenburg / Radboud University, Thorsten Berger Ruhr University Bochum | ||
15:20 10mTalk | CROSS2OH: Enabling Seamless Porting of C/C++ Software Libraries to OpenHarmony Research Papers Qian Zhang University of California at Riverside, Li Tsz On The Hong Kong University of Science and Technology, Ying Wang Northeastern University, Li Li Beihang University, Shing-Chi Cheung Hong Kong University of Science and Technology | ||