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Why Modern Open Source Projects Fail (1707.02327v1)

Published 7 Jul 2017 in cs.SE and cs.CY

Abstract: Open source is experiencing a renaissance period, due to the appearance of modern platforms and workflows for developing and maintaining public code. As a result, developers are creating open source software at speeds never seen before. Consequently, these projects are also facing unprecedented mortality rates. To better understand the reasons for the failure of modern open source projects, this paper describes the results of a survey with the maintainers of 104 popular GitHub systems that have been deprecated. We provide a set of nine reasons for the failure of these open source projects. We also show that some maintenance practices -- specifically the adoption of contributing guidelines and continuous integration -- have an important association with a project failure or success. Finally, we discuss and reveal the principal strategies developers have tried to overcome the failure of the studied projects.

Citations (161)

Summary

  • The paper identifies nine failure factors, showing that competitive pressures and contributor disengagement are major causes for project termination.
  • It utilizes surveys and GitHub repository analyses with statistical tests like the Mann-Whitney test to validate the impact of maintenance practices.
  • The study suggests that implementing contributing guidelines and continuous integration can mitigate risks and enhance project sustainability.

An Analytical Perspective on Modern Open Source Project Failures

The paper "Why Modern Open Source Projects Fail" by Jailton Coelho and Marco Tulio Valente presents a comprehensive paper on the factors contributing to the high failure rates observed in modern open source software hosted on platforms such as GitHub. This research leverages empirical data gathered from GitHub repositories and extensive surveys conducted with maintainers of decommissioned projects, ultimately categorizing the reasons behind the cessation of development into three main groups: project characteristics, team dynamics, and environmental factors.

Key Findings and Numerical Insights

The research identifies nine distinct reasons for project failures, with the emergence of stronger competitors cited as a predominant factor affecting 27 projects, denoting the competitive nature of open source ecosystems. Other significant causes include obsolescence (20 projects), outdated technological bases (14 projects), and lack of time or interest among key contributors (36 projects combined). These findings underscore the complex interplay between internal and external dynamics that can lead to the abandonment of projects.

The paper also investigates the impact of modern maintenance practices on project sustainability, highlighting that practices such as contributing guidelines and continuous integration possess considerable influence, with the most successful projects displaying a higher adoption rate of these approaches. Statistical analyses, including Mann-Whitney tests and Cliff’s delta, confirm a large effect size regarding contributing guidelines and a medium effect size for continuous integration, implying a positive correlation between these practices and project success.

Implications for Practice and Theory

The implications of this research are manifold, offering critical insights into the lifecycle management of open source projects. From a practical standpoint, the findings suggest a need for lightweight maturity models that can help project teams proactively manage risks associated with project and team characteristics, as well as external competitive pressures. The documented impact of maintenance practices serves as a guideline for improving project outcomes by fostering more robust and collaborative development environments.

Theoretically, this investigation contributes to understanding the evolving landscape of open source development, particularly concerning how modern platforms like GitHub influence project dynamics. The paper challenges traditional perspectives, such as Lehman’s first law of software evolution, by documenting cases where projects reach a state of completion, contradicting the notion that software systems continuously change.

Future Directions

Future research should focus on developing methodologies to predict and mitigate the risk of failure, potentially through machine learning models that analyze repository metrics and contributor activities. Additionally, further exploration into the role of community engagement and alternative governance models could yield strategies to sustain development momentum when faced with competing interests or contributor attrition.

The paper "Why Modern Open Source Projects Fail" is an essential read for software engineering researchers and practitioners focused on maintaining the viability and growth of open source projects in increasingly competitive environments. The paper’s empirical rigor provides a solid foundation upon which continued efforts to enhance open source project management and sustainability can be built.