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Free open source communities sustainability: Does it make a difference in software quality?
by
Pardo, Raúl
, Alami, Adam
, Linåker, Johan
in
Complexity
/ Data analysis
/ Defects
/ Impact analysis
/ Open source software
/ Quality standards
/ Regression coefficients
/ Software quality
/ Statistical analysis
/ Sustainability
2024
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Free open source communities sustainability: Does it make a difference in software quality?
by
Pardo, Raúl
, Alami, Adam
, Linåker, Johan
in
Complexity
/ Data analysis
/ Defects
/ Impact analysis
/ Open source software
/ Quality standards
/ Regression coefficients
/ Software quality
/ Statistical analysis
/ Sustainability
2024
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Do you wish to request the book?
Free open source communities sustainability: Does it make a difference in software quality?
by
Pardo, Raúl
, Alami, Adam
, Linåker, Johan
in
Complexity
/ Data analysis
/ Defects
/ Impact analysis
/ Open source software
/ Quality standards
/ Regression coefficients
/ Software quality
/ Statistical analysis
/ Sustainability
2024
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Free open source communities sustainability: Does it make a difference in software quality?
Journal Article
Free open source communities sustainability: Does it make a difference in software quality?
2024
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Overview
ContextFree and Open Source Software (FOSS) communities’ ability to stay viable and productive over time is pivotal for society as they maintain the building blocks that digital infrastructure, products, and services depend on. Sustainability may, however, be characterized from multiple aspects, and less is known how these aspects interplay and impact community outputs, and software quality specifically.ObjectiveThis study, therefore, aims to empirically explore how the different aspects of FOSS sustainability impact software quality.Method16 sustainability metrics across four categories were sampled and applied to a set of 217 OSS projects sourced from the Apache Software Foundation Incubator program. The impact of a decline in the sustainability metrics was analyzed against eight software quality metrics using Bayesian data analysis, which incorporates probability distributions to represent the regression coefficients and intercepts.ResultsFindings suggest that selected sustainability metrics do not significantly affect defect density or code coverage. However, a positive impact of community age was observed on specific code quality metrics, such as risk complexity, number of very large files, and code duplication percentage. Interestingly, findings show that even when communities are experiencing sustainability, certain code quality metrics are negatively impacted.ConclusionFindings imply that code quality practices are not consistently linked to sustainability, and defect management and prevention may be prioritized over the former. Results suggest that growth, resulting in a more complex and large codebase, combined with a probable lack of understanding of code quality standards, may explain the degradation in certain aspects of code quality.
Publisher
Springer Nature B.V
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