From Models to Practice: Enhancing OSS Project Sustainability with Evidence-Based Advice
Sustainability in Open Source Software (OSS) projects is crucial for long-term innovation, community support, and the enduring success of open-source solutions. Although multitude of studies have provided effective models for OSS sustainability, their practical implications have been lacking because most identified features are not amenable to direct tuning by developers (e.g., levels of communication, number of commits per project).
In this paper, we report on preliminary work toward making models more actionable based on evidence-based findings from prior research. Given a set of identified features of interest to OSS project sustainability, we performed a comprehensive literature review related to those features to uncover practical, evidence-based advice, which we call Researched Actionables (ReACTs). The ReACTs are practical advice with specific steps, found in prior work to associate with tangible results. Starting from a set of sustainability-related features, this study contributes 105 ReACTs to the SE community by analyzing 186 published articles. Moreover, this study introduces a newly developed tool (ReACTive) designed to enhance the exploration of ReACTs through visualization across various facets of the OSS ecosystem. The ReACTs idea opens new avenues for connecting SE metrics to actionable research in SE in general.
Wed 17 JulDisplayed time zone: Brasilia, Distrito Federal, Brazil change
11:00 - 12:30 | Software Maintenance and Comprehension 1Research Papers / Ideas, Visions and Reflections / Demonstrations at Acerola Chair(s): Wesley Assunção North Carolina State University | ||
11:00 18mTalk | Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-Task Learning Research Papers Xiaoling Zhang Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences,, Zhengzi Xu Nanyang Technological University, shouguo yang Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, Zhi Li Institute of Information Engineering, Chinese Academy of Sciences, China, Zhiqiang Shi Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences,, Limin Sun Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences, DOI Pre-print | ||
11:18 18mTalk | Only diff is Not Enough: Generating Commit Messages Leveraging Reasoning and Action of Large Language Model Research Papers Jiawei Li University of California, Irvine, David Faragó Innoopract GmbH & QPR Technologies, Christian Petrov Innoopract GmbH, Iftekhar Ahmed University of California, Irvine | ||
11:36 18mTalk | Towards Efficient Build Ordering for Incremental Builds with Multiple Configurations Research Papers Jun Lyu Nanjing University, Shanshan Li Software Institute, Nanjing University, He Zhang Nanjing University, Lanxin Yang Nanjing University, Bohan Liu Nanjing University, Manuel Rigger National University of Singapore | ||
11:54 18mTalk | Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example Research Papers Malinda Dilhara University of Colorado Boulder, Abhiram Bellur University of Colorado Boulder, Timofey Bryksin JetBrains Research, Danny Dig University of Colorado Boulder, JetBrains Research Pre-print | ||
12:12 9mTalk | Variability-Aware Differencing with DiffDetectiveBest Demo Paper Demonstrations Paul Maximilian Bittner Paderborn University, Alexander Schultheiß Paderborn University, Benjamin Moosherr University of Ulm, Timo Kehrer University of Bern, Thomas Thüm Paderborn University Pre-print Media Attached | ||
12:21 9mTalk | From Models to Practice: Enhancing OSS Project Sustainability with Evidence-Based Advice Ideas, Visions and Reflections Nafiz Imtiaz Khan Department of Computer Science, University of California, Davis, Vladimir Filkov University of California at Davis, USA Link to publication DOI | ||