A First Look at Package-to-Group Mechanism: An Empirical Study of the Linux Distributions
Reusing third-party software packages is a common practice in software development. As the scale and complexity of open-source software (OSS) projects continue to grow (e.g., Linux distributions), the number of reused third-party packages has significantly increased. Therefore, maintaining effective package management is critical for developing and evolving OSS projects. To achieve this, a package-to-group mechanism (P2G) is employed to enable unified installation, uninstallation, and updates of multiple packages at once. To better understand this mechanism, this paper takes Linux distributions as a case study and presents an empirical study focusing on its application trends, evolutionary patterns, group quality, and developer tendencies. By analyzing 11,746 groups and 193,548 packages from 89 versions of 5 popular Linux distributions and conducting questionnaire surveys with Linux practitioners and researchers, we derive several key insights. Our findings show that P2G is increasingly being adopted, particularly in popular Linux distributions. P2G follows six evolutionary patterns (e.g., splitting and merging groups). Interestingly, packages no longer managed through P2G are more likely to remain in Linux distributions rather than being directly removed. To assess the effectiveness of P2G, we propose a metric called GVALUE to evaluate the quality of groups and identify issues such as inadequate group descriptions and insufficient group sizes. We also summarize five types of packages that tend to adopt P2G, including graphical desktops, networks, etc. To the best of our knowledge, this is the first study focusing on the P2G mechanisms. We expect our study can assist in the efficient management of packages and reduce the burden on practitioners in rapidly growing Linux distributions and other open-source software projects.
Thu 6 MarDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | Software Analysis & Recommendation SystemsResearch Papers / Industrial Track / Early Research Achievement (ERA) Track at L-1720 Chair(s): Brittany Reid Nara Institute of Science and Technology | ||
11:00 15mTalk | A First Look at Package-to-Group Mechanism: An Empirical Study of the Linux Distributions Research Papers Dongming Jin Key Lab of High-Confidence of Software Technologies (PKU), Ministry of Education, NIANYU LI ZGC Lab, China, Kai Yang Zhongguancun Laboratory, Minghui Zhou Peking University, Zhi Jin Peking University | ||
11:15 15mTalk | Preprocessing is All You Need: Boosting the Performance of Log Parsers With a General Preprocessing Framework Research Papers Qiaolin Qin Polytechnique Montréal, Roozbeh Aghili Polytechnique Montréal, Heng Li Polytechnique Montréal, Ettore Merlo Polytechnique Montreal Pre-print | ||
11:30 7mTalk | Boosting Large Language Models for System Software Retargeting: A Preliminary Study Early Research Achievement (ERA) Track Ming Zhong SKLP, Institute of Computing Technology, CAS, Fang Lv Institute of Computing Technology, Chinese Academy of Sciences, Lulin Wang , Lei Qiu SKLP, Institute of Computing Technology, CAS; University of Chinese Academy of Sciences, Hongna Geng SKLP, Institute of Computing Technology, CAS, Huimin Cui Institute of Computing Technology, Chinese Academy of Sciences, Xiaobing Feng ICT CAS | ||
11:37 15mTalk | Analyzing Logs of Large-Scale Software Systems using Time Curves Visualization Industrial Track Dmytro Borysenkov , Adriano Vogel , Sören Henning Johannes Kepler University Linz, Esteban Pérez Wohlfeil | ||
11:52 15mTalk | Building Your Own Product Copilot: Challenges, Opportunities, and Needs Industrial Track Chris Parnin Georgia Tech, Gustavo Soares Microsoft, Rahul Pandita GitHub, Inc., Sumit Gulwani Microsoft, Jessica Rich , Austin Henley University of Tennessee | ||
12:07 15mTalk | Filter-based Repair of Semantic Segmentation in Safety-Critical Systems Industrial Track Sebastian Schneider , Tomas Sujovolsky , Paolo Arcaini National Institute of Informatics
, Fuyuki Ishikawa National Institute of Informatics, Truong Vinh Truong Duy |