Computer Science ›› 2026, Vol. 53 ›› Issue (10): 336-344.doi: 10.11896/jsjkx.260100120

• Computer Software • Previous Articles     Next Articles

Classification and Comparative Analysis of Governance Models in Open Source Foundations

HE Xiang, XU Hanchuan, WANG Tiantian, WANG Zhongjie   

  1. Faculty of Computing,Harbin Institute of Technology,Harbin 150001, China
  • Received:2026-01-20 Revised:2026-04-28 Published:2026-10-13
  • About author:HE Xiang,born in 1997,Ph.D,associate researcher,master’s supervisor,is a member of CCF(No.96121M).His main research interests include software engineering and Internet service computing.
    WANG Zhongjie,born in 1978,Ph.D,professor,Ph.D supervisor,is a senior member of CCF(No.06531D).His main research interests include indus-trial software,software engineering,and Internet service computing.
  • Supported by:
    Key Program of the National Natural Science Foundation of China(61832014).

Abstract: Open source software(OSS) has become a critical form of digital public infrastructure,with open source foundations serving as its core governance institutions.The institutional design of these foundations,however,requires navigating inherent strategic trade-offs.To this end,this paper develops a “Governance Trilemma” model,positing that foundations cannot simulta-neously maximize strategic direction,community autonomy,and ecosystem neutrality.Through a comparative analysis of three archetypal governance models:the meritocratic community(Apache Software Foundation),the industry-driven platform integrator(Cloud Native Computing Foundation),and the national ecosystem catalyst(OpenAtom Foundation),this paper reveals how these models prioritize and balance the trilemma’s competing demands.The findings demonstrate that successful open source gover-nance is a dynamic process of institutional adaptation rather than a static structural choice.The proposed analytical framework and trilemma model offer a new theoretical lens for understanding and designing resilient,globally influential open source ecosystems,providing critical insights for China’s strategic initiatives in this domain.

Key words: Open source governance, Digital public infrastructure, Open source foundations, Governance trilemma, Strategic tra-de-offs

CLC Number: 

  • TP311
[1] MAZZUCATO M,EAVES D,VASCONCELLOS B.Digitalpublic infrastructure and public value:What is ‘public’ about DPI?[R].UCL Institute for Innovation and Public Purpose,Working Paper Series(IIPP WP 2024-05),2024.
[2] OZILI P K.Digital Public Infrastructure:Concepts,Global Efforts,Benefits,Challenges,and Success Stories [J].Digital So-ciety,2025,4(1):15.
[3] BLIND K,BÖHM M,GRZEGORZEWSKA P,et al.The impact of Open Source Software and Hardware on technological independence,competitiveness and innovation inthe EU economy:Final Study Report [R].European Commission,Brussels,2021.
[4] QI Y,LIU J F,LI N.The Analysis of National Security Risk in Open Source Software Supply Chain [J].Journal of Information Security Research,2021,7(9):790-794.
[5] LONG Y T,WANG X M,GU R,et al.Development Expe-rience of International Open Source and Its Enlightenment to Construction of Open Source Innovation System in China [J].Bulletin of Chinese Academy of Sciences,2021,36(12):1497-1505.
[6] CÁNOVAS IZQUIERDO J L,CABOT J.The role of founda-tions in open source projects [C]//Proceedings of the 40th International Conference on Software Engineering:Software Engineering in Society.ACM,2018:3-12.
[7] RIEHLE D,BERSCHNEIDER S.A model of open source deve-loper foundations [C]//IFIP International Conference on Open Source Systems.Berlin:Springer,2012:15-28.
[8] HUNTER P,WALLI S.The rise and evolution of the opensource software foundation [J].IFOSS Law Review,2013,5(1):31-42.
[9] HARDIN G.The tragedy of the commons:the population problem has no technical solution;it requires a fundamental extension in morality [J].Science,1968,162(3859):1243-1248.
[10] OSTROM E.Governing the commons:The evolution of institutions for collective action [M].Cambridge:Cambridge University Press,1990.
[11] LAFFONT J J,MARTIMORT D.The theory of incentives:the principal-agent model [M].Princeton:Princeton University Press,2002.
[12] KRAAIJENBRINK J,SPENDER J C,GROEN A J.The re-source-based view:A review and assessment of its critiques [J].Journal of Management,2010,36(1):349-372.
[13] TALAJA A.Testing VRIN framework:Resource value andrareness as sources of competitive advantage and above average performance [J].Management:Journal of Contemporary Ma-nagement Issues,2012,17(2):51-64.
[14] PRATTICO L.Governance of open source software founda-tions:who holds the power? [J].Technology Innovation Ma-nagement Review,2012,2(12):37-42.
[15] GHAREHYAZIE M,POSNETT D,VASILESCU B,et al.Developer initiation and social interactions in OSS:A case study of the Apache Software Foundation [J].Empirical Software Engineering,2015,20(5):1318-1353.
[16] SIKHA V K.How OSS Initiatives Like CNCF Are DrivingNext-Gen Cloud-Based Services [J].International Journal of Communication Networks and Information Security,2021,13(2):361-369.
[17] ZHANG Y X,STOL K J,LIU H,et al.Corporate dominance in open source ecosystems:a case study of OpenStack [C]//Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.ACM,2022:1048-1060.
[18] FOSTER D.The New Dynamics of Open Source:Relicensing,Forks,& Community Impact [J].arXiv:2411.04739,2024.
[19] BUSINGE J,OPENJA M,NADI S,et al.Reuse and maintenance practices among divergent forks in three software ecosystems [J].Empirical Software Engineering,2022,27(2):54.
[1] GU Xinhao, XU Jingyi, LI Yongjin, ZHAO Xinyi, QIAO Jialin. Consensus Protocol Framework of Distributed Time-series Database for Internet of Things Scenarios [J]. Computer Science, 2026, 53(9): 124-135.
[2] TAO Zekun, CHEN Di, ZHU Kaijie, XIA Yi, ZHANG Yichen, CHEN Yue. BGP Anomaly Detection and Localization via Multi-view Neighborhood Perturbation Awareness [J]. Computer Science, 2026, 53(9): 365-374.
[3] HE Yunong, DING Zhijun. Semantics-aware Fine-grained Parallel Structural Reduction Framework for Petri-net LTL Model Checking [J]. Computer Science, 2026, 53(8): 357-364.
[4] ZHANG Xingwang, HE Xiaoli, CHEN Si, SHE Yanhong. Feature Selection Based on Hierarchical Quantum Bat Algorithm [J]. Computer Science, 2026, 53(7): 195-204.
[5] WEI Qing, ZHANG Yupeng, LIU Shaoxun, ZHANG Jinfeng, ZHANG Yuezhong, CHEN Haoyang. Fuzzing Driver Generation Based on Large Language Models [J]. Computer Science, 2026, 53(6A): 250400113-8.
[6] WANG Hai, LIU Zhongyi, ZHANG Chenyang, CUI Hua, FU Dan. MDBCache:Lightweight Data Caching Solution for Relational Databases Based on Memory- mapping [J]. Computer Science, 2026, 53(6A): 250500104-12.
[7] HAN Liping, YU Le, HU Mingzhe, NIE Tingting. Challenges and Methods for Robust Cyber-Physical Systems Under Uncertainty:A Systematic Review [J]. Computer Science, 2026, 53(6A): 250700017-8.
[8] QU Jiewu, LU Xinxi, SUN Jian, LIU Yan, GAO Ling, XU Binbin. Object Detection Method Based on Phased Training Strategy and Multi-scale Feature Fusion [J]. Computer Science, 2026, 53(6A): 250700088-7.
[9] SHEN Yajie, WANG Jishu, JIN Kui, ZI Tong, TANG Mingjing. Second-order Multi-channel Directed Graph Convolution for Gene Regulatory Inference [J]. Computer Science, 2026, 53(6A): 250700116-10.
[10] DONG Dong, JIN Pengchao. Model-based Trajectory Anomalies Detection Algorithm for Longitudinal Data [J]. Computer Science, 2026, 53(6A): 250800004-8.
[11] LIU Zixuan, TANG Xiaoyong. PID-Dynamic LSTM Generation Model for MCU Driver Code Based on Dynamically-tuned Cross-entropy Loss [J]. Computer Science, 2026, 53(6A): 250800005-9.
[12] ZHANG Xiqian, CHEN Siyu, ZHANG Hanwen, WANG Deguang, TIAN Hong. ChainGrid-V:A Highly Scalable Blockchain Storage and Consensus Framework for Cross-domainInternet of Vehicles [J]. Computer Science, 2026, 53(6A): 250800060-8.
[13] LIANG Zheheng, YU Ran, CUI Lei, QIN Zheng, ZHANG Jinbo, ZHANG Ziyang, WU Mingchao. Torlink:High-performance Streaming ML Framework for Dynamic Flow-rate Data [J]. Computer Science, 2026, 53(6A): 250800062-11.
[14] ZHONG Linhui, LIAO Zichen, ZHENG Yi, QU Qiaoqiao, HU Zhen, LI Zhuoyu, LIU Wenxuan. Research on C2 Style Oriented Software Architecture Evolution Path Planning [J]. Computer Science, 2026, 53(6A): 250900102-7.
[15] WU Can, XIAO Haili, WANG Xiaoning, ZHAO Yining, LU Shasha, HE Rong. Workload Analysis and Modeling Method for High-performance Computing [J]. Computer Science, 2026, 53(6): 171-184.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!