Manas Kumar Yogi,
- Assistant Professor, Department of Computer Science and Engineering, Pragati University, Andhra Pradesh, India
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 analysis of QA practices across the two development paradigms, focusing on three measurable dimensions: testing rigor, defect density, and documentation completeness. Using software metrics synthesized from empirical literature and applied to representative cases, including biomedical simulation platforms such as SimVascular, CRIMSON, and the Pulse Physiology Engine, the analysis finds that OSS projects achieve competitive defect density in mature, large-scale codebases and excel in community-driven review breadth, whereas CSS projects maintain an advantage in independent QA staffing, formalized test automation, and consistency of documentation. The findings suggest that quality outcomes depend less on licensing model than on project governance maturity, contributor density, and the presence of structured release discipline, offering practical implications for organizations selecting or contributing to software of either type.
Keywords: Open-source software, closed-source software, quality assurance, defect density, software testing, documentation completeness, software metrics, biomedical simulation software
[This article belongs to Journal of Open Source Developments ]
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Journal of Open Source Developments
| Volume | 13 | |
| Issue | 02 | |
| Received | 26/08/2026 | |
| Accepted | 20/09/2026 | |
| Published | 28/09/2026 | |
| Publication Time | 33 Days |
