Journal of Open Source Developments

Journal of Open Source Developments

• Open source development practices: collaborative development workflows, code review and patch submission processes, release management in distributed teams, coordination without formal hierarchy, contribution guidelines and their effect on participation, and comparison of open and closed development models.
• Community structure and governance: governance models from benevolent dictator to foundation-managed projects, decision-making and conflict resolution, leadership emergence and succession, role progression and legitimate peripheral participation, codes of conduct and their enforcement, and corporate participation in community projects.
• Contributor participation and sustainability: motivation and retention of contributors, onboarding and mentoring of newcomers, maintainer burnout and project abandonment, diversity and inclusion in open source communities, funding models and donation mechanisms, and long-term sustainability of critical infrastructure projects.
• Licensing, compliance, and legal aspects: permissive and copyleft licence analysis, licence compatibility and dual licensing, compliance obligations and auditing, contributor licence agreements and copyright assignment, patent implications, relicensing and forking disputes, and legal dimensions of derivative works.
• Mining software repositories and empirical studies: analysis of version control histories, issue and bug tracker data, pull request and code review datasets, developer activity and network analysis, reproducibility of repository studies, dataset construction and quality, and methodological advances in repository mining.
• Quality, testing, and maintenance in open source: defect density and quality assessment of open source code, testing practice in volunteer-driven projects, documentation quality and its effects, technical debt in long-lived projects, refactoring and code health, and maintenance burden of dependencies.
• Security and software supply chain: vulnerability discovery and disclosure in open source, coordinated disclosure processes, dependency and transitive risk analysis, software bill of materials and provenance, malicious package and typosquatting detection, and security of build and distribution infrastructure.
• Ecosystems and dependency networks: package registry and ecosystem analysis, dependency graph structure and evolution, breaking changes and downstream impact, reuse and code duplication across projects, ecosystem health metrics, and inter-project coordination.
• Development infrastructure and tooling: version control system design and workflows, issue tracking and project management platforms, continuous integration for open source projects, code hosting and collaboration platforms, recommendation and awareness tools for contributors, and automation of maintainer workloads.
• Economics and business models: commercial strategies built on open source, open core and dual licensing models, cost and value assessment of open source adoption, vendor and foundation funding, public sector and government adoption, and market effects of open source availability.
• Open source in research and scientific software: development and citation of research software, reproducibility through open code and data, sustainability of scientific software projects, community standards for research software engineering, and open source tooling in computational science.
• Open hardware, open data, and open models: open source hardware design and fabrication, licensing of hardware designs, low-cost open scientific instrumentation, open data initiatives and governance, and openness in machine learning models, weights, and training data.