Curated research papers, articles, and blogs on every aspect about free and open source software (FOSS) ecosystem. 🔎
Table of Contents
| No. | Title | Publication | Year | Rank | Keywords | Clasification{T, P, M} | Resource | History |
|---|---|---|---|---|---|---|---|---|
| 0001 | What Makes a Great Maintainer of Open Source Projects? | ICSE | 2021 | A | 开源软件, 开源维护者, 独特属性 | T[A0102.开发者] | [Copy], [Video], [Note], [Note2], [ |
[PaperRec] |
| 0002 | How Do Companies Collaborate in Open Source Ecosystems? An Empirical Study of OpenStack | ICSE | 2020 | A | T[A0203.企业], T[D.社区与生态] | [Copy] | ||
| 0003 | Sustainability Forecasting for Apache Incubator Projects | FSE | 2021 | A | T[D0401.Sustainability] | [Copy], [Video], [Note], [Slide] | ||
| 0004 | Let's Talk About It: Evaluating Contributions through Discussion in GitHub | FSE | 2014 | A | T[C0501.Contributions] | [Copy] | ||
| 0005 | Companies' Participation in OSS Development-An Empirical Study of OpenStack | TSE | 2021 | A | T[A0203.企业], T[D.社区与生态] | |||
| 0006 | World of code: enabling a research workflow for mining and analyzing the universe of open source VCS data | ESE | 2021 | A | T[E0105.VCS], P[B02.数据集构建] | |||
| 0007 | Profiles of Schema Evolution in Free Open Source Software Projects | ICDE | 2021 | A | T[D06.演化] | |||
| 0008 | CENTRIS: A precise and scalable approach for identifying modified open-source software reuse | ICSE | 2021 | A | T[B0101.Code Reuse] | |||
| 0009 | Understanding Community Smells Variability: A Statistical Approach | ICSE | 2021 | A | T[D0206.Community Smells] | |||
| 0010 | Representation of Developer Expertise in Open Source Software | ICSE | 2021 | A | T[A0102.开发者/Developer Expertise] | |||
| 0011 | Enterprise-Driven Open Source Software: A Case Study on Security Automation | ICSE | 2021 | A | T[C0801.CI] | |||
| 0012 | The Shifting Sands of Motivation: Revisiting What Drives Contributors in Open Source | ICSE | 2021 | A | T[A0102.开发者/Motivation Changes] | [Copy], [Video], [Note], [Slide] | ||
| 0013 | Secure software development in the era of fluid multi-party open software and services | ICSE-NIER | 2021 | A | T[C08.开发过程] | |||
| 0014 | A Large Scale Study of Long-Time Contributor Prediction for GitHub Projects | TSE | 2021 | A | T[A0102.开发者/Developer Role Evolution] | |||
| 0015 | Open source ecosystems need equitable credit across contributions | Nature Computational Science | 2021 | A | T[C0501.Contributions] | |||
| 0016 | Enhancing developers’ support on pull requests activities with software bots | ESEC/FSE 2020 | 2020 | A | T[A0301.Software Bots] | |||
| 0017 | A theory of the engagement in open source projects via summer of code programs | ESEC/FSE 2020 | 2020 | A | T[A0102.开发者] | |||
| 0018 | A first look at good first issues on GitHub | ESEC/FSE 2020 | 2020 | A | T[C10.Issue] | [Copy], [Video], [Note], [ |
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| 0019 | Scaling open source communities: An empirical study of the linux kernel | ICSE | 2020 | A | T[D0602.Evolution of Communities of Software] | |||
| 0020 | Managing Episodic Volunteers in Free/Libre/Open Source Software Communities | TSE | 2020 | A | T[C0507.Govern Developers] | |||
| 0021 | Modeling and Recommending Open Source Licenses with findOSSLicense | TSE | 2019 | A | T[F0404.许可证推荐] | |||
| 0022 | On the Impact of Security Vulnerabilities in the npm and RubyGems Dependency Networks | arXiv | 2021 | A? | T[B0503.Vulnerable Dependencies] | |||
| 0023 | Development of recommendation systems for software engineering: the CROSSMINER experience | ESE | 2021 | B | T[C0306.推荐/API Recommendation] | |||
| 0024 | Continuous software bug prediction | ESEM | 2021 | B | T[C1304.Bug Detection] | |||
| 0025 | Repo2vec: A comprehensive embedding approach for determining repository similarity | ICSME | 2021 | B | T[C0301.Similarity of GitHub Repositories] | |||
| 0026 | ALBFL: A novel neural ranking model for software fault localization via combining static and dynamic features | IST | 2021 | B | T[B0501.Automated Fault Localization] | |||
| 0027 | A systematic mapping study of developer social network research | JSS | 2021 | B | T[E03.Developer Social Network(DSN)] | |||
| 0028 | Open Data Ecosystems—An empirical investigation into an emerging industry collaboration concept | JSS | 2021 | B | T[F0103.Open Data Ecosystem] | |||
| 0029 | A complex network analysis of the Comprehensive R Archive Network (CRAN) package ecosystem | JSS | 2021 | B | T[C1907.基于复杂网络方法的度量], T[E0108.Comprehensive R Archive Network (CRAN) Package Ecosystem] | |||
| 0030 | Empirical analysis of security vulnerabilities in python packages | SANER | 2021 | B | T[B0503.Vulnerable Dependencies] | |||
| 0031 | Is this GitHub project maintained? Measuring the level of maintenance activity of open-source projects | IST | 2020 | B | T[C0701. Project Life-span], T[E0203.Activity-Based Analysis] | |||
| 0032 | Exploring software bug-proneness based on evolutionary clique modeling and analysis | IST | 2020 | B | T[C13.Bug], T[E06.Evolutionary Coupling] | |||
| 0033 | Pull Requests or Commits? Which Method Should We Use to Study Contributors' Behavior? | SANER | 2020 | B | T[C0501.Contributions], T[C1901.活跃度] | |||
| 0034 | Open source software ecosystems: A Systematic mapping | IST | 2017 | B | T[F0102.OSS Ecosystem] | |||
| 0035 | Developer Role Evolution in Open Source Software Ecosystem: An Explanatory Study on GNOME | JCST | 2017 | B | T[A0102.开发者/Developer Role Evolution] | |||
| 0036 | Motivating the contributions: An Open Innovation perspective on what to share as Open Source Software | JSS | 2018 | B | T[A0102.开发者/Motivating the Contributions] | |||
| 0037 | 开源社区评审过程度量体系及其实证研究 | 软件学报 | 2021 | A | 开源社区, 代码评审, 度量体系, 决策者, 软件缺陷 | T[C0803.Code Review] | [Copy] | #85 |
| 0038 | GitHub 中软件生态系统的演化 | 计算机研究与发展 | 2020 | A | T[D0603.Evolution of Software Ecosystem] | |||
| 0039 | 软件生态系统研究综述 | 计算机学报 | 2020 | A | T[F0102.OSS Ecosystem] | |||
| 0040 | 基于贡献分配的开源软件核心开发者评估 | 软件学报 | 2018 | A | 开源软件, 核心开发者, 外围开发者, 贡献分配, 支持向量机 | T[A0102.开发者], T[C1904.开发者贡献度] | [Copy], [Video], [Note], [Slide] | #69 |
| 0041 | 开源项目活跃度模型构建及实证 | 信息技术与网络安全 | 2021 | - | T[C1901.活跃度] | [Copy] | #1 | |
| 0042 | Studying Software Developer Expertise and Contributions in Stack Overflow and GitHub | ICSME | 2020 | B | Software developer expertise, developer contributions | [Copy] | [RecIssue] | |
| 0043 | 开源软件社区开发者协作网络结构演化分析——以 Cloud Foundry社区为例 | 复杂系统与复杂性科学 | 2019 | - | developer collaboration network; OSS community; structure and evolution | T[A0201] | COPY,NOTE,Video | #64 |
| 0044 | Quantitative Analysis of Community Evolution in Developer Social Networks Around Open Source Software Projects | arXiv | 2022 | - | Developer Social Networks, Community Evolution Patterns, Entropy-Bases Indices, Open Source Software, Mining Software Repositories | T[D0602.Evolution of Communities of Software] | [RecIssue#75] | |
| 0045 | Mining the Technical Roles of GitHub Users | Information and Software Technology | 2021 | CCF B | Technical roles, Technical expertise, Developers profiles, Machine learning, GitHub | T[A0101] | COPY | RecIssie#83 |
| 0046 | Progresses and challenges in link prediction | iScience | 2021 | - | Link prediction, similarity indices, link predictability, evaluation metrics | P[B0103] | [Copy] | [RecIssue#90] |
| 0047 | The Emerging Trends of Multi-Label Learning | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2021 | A | Multi-label Learning | Copy | ||
| 0048 | Demystifying Software Release Note Issues on GitHub | 30th IEEE/ACM International Conference on Program Comprehension | 2022 | B | release engineering, release note, empirical study, taxonomy | Copy | [RecIssue#169] | |
| 0049 | Personalized project recommendation on GitHub | SCIS（SCIENCE CHINA Information Sciences） | 2018 | A | software recommendation, developer behavior, GitHub, user feedback ,personalized recommendation | T[C0306.推荐/API Recommendation] | Copy | RecIssue |
Notes:
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How to recommended a paper: [FlowChart], [Example #75 Fixed by #80], [Related Issue&Discussion #38#issuecomment-1126595612 #43 62#issuecomment-1140374782] .
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Clasification{T, P, M}: T for Topic mindmap(Topic preview), P for Problem mindmap, M for Method mindmap. The tag order represents classification priority.