Open-source software
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Quality Assurance Practices in Open-Source Versus Closed-Source Software Development: A Comparative Analysis
Abstract: Quality assurance (QA) is a decisive factor in determining whether software, whether openly developed or commercially closed, meets the reliability, maintainability, and usability expectations of its users. Open-source software (OSS) and closed-source software (CSS) pursue quality through structurally different mechanisms: OSS relies on distributed peer review, community-driven testing, and transparent issue tracking, while CSS depends on centralized quality departments, contractual accountability, and controlled release cycles. This article presents a comparative …
Published in Journal of Open Source Developments · Vol. 13, Issue 2, 2026 · pp. 34–44 Read article
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Open-Source AI Agent Frameworks: A Comparative Performance Analysis
Abstract: The rapid growth of agentic AI has led to a diverse ecosystem of open-source frameworks for developing LLM-based agents. These frameworks differ in their approaches to state management, multi-agent coordination, tool orchestration, memory, and workflow execution. This paper presents a comparative analysis of prominent open-source AI agent frameworks, including LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and related systems. The study synthesizes a common architectural model to identify the core components …
Published in Journal of Open Source Developments · Vol. 13, Issue 2, 2026 · pp. 23–33 Read article
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A Comparative Review and Data-Driven Analysis of Open-Source Software Development Trends
Abstract: Open-source software (OSS) underpins a substantial portion of modern software infrastructure. Despite its importance, comparative empirical analyses that jointly examine development velocity, popularity–maintenance relationships, and cross-domain differences remain limited. This paper presents a data-driven comparative study of 28 high-impact open-source repositories spanning web frameworks, machine learning systems, infrastructure tooling, and programming language runtimes. Drawing on repository metadata, 7,082 issues, and 248,320 pull requests, we quantify issue resolution times, pull-request merge …
Published in Journal of Open Source Developments · Vol. 13, Issue 2, 2026 · pp. 1–9 Read article