Characterizing Agile Software Development: Insights from a Data-Driven Approach Using Large-Scale Public Repositories

This study investigates the prevalence and impact of Agile practices by leveraging metadata from thousands of public GitHub repositories through a novel data-driven methodology. To facilitate this analysis, we developed the AgileScore index, a metric designed to identify and evaluate patterns, characteristics, performance and community engagement in Agile-oriented projects. This approach enables comprehensive, large-scale comparisons between Agile methodologies and traditional development practices within digital environments. Our findings reveal a significant annual growth of 16% in the adoption of Agile practices and validate the AgileScore index as a systematic tool for assessing Agile methodologies across diverse development contexts. Furthermore, this study introduces innovative analytical tools for researchers in software project management, software engineering and related fields, providing a foundation for future work in areas such as cost estimation and hybrid project management. These insights contribute to a deeper understanding of Agile’s role in fostering collaboration and adaptability in dynamic digital ecosystems.

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Publication Details

Journal
Software
Published
2025-05-24
DOI
https://doi.org/10.3390/software4020013
Citations
1
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
3.25
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article

Characterizing Agile Software Development: Insights from a Data-Driven Approach Using Large-Scale Public Repositories

Justo Carracedo, Jaime Sánchez Gallego, Carlos Moreno Martínez
1 citations
Software
Software Engineering Research
3.25
article

Characterizing Agile Software Development: Insights from a Data-Driven Approach Using Large-Scale Public Repositories

Justo Carracedo, Jaime Sánchez Gallego, Carlos Moreno Martínez
article en
1 citations

Abstract

This study investigates the prevalence and impact of Agile practices by leveraging metadata from thousands of public GitHub repositories through a novel data-driven methodology. To facilitate this analysis, we developed the AgileScore index, a metric designed to identify and evaluate patterns, characteristics, performance and community engagement in Agile-oriented projects. This approach enables comprehensive, large-scale comparisons between Agile methodologies and traditional development practices within digital environments. Our findings reveal a significant annual growth of 16% in the adoption of Agile practices and validate the AgileScore index as a systematic tool for assessing Agile methodologies across diverse development contexts. Furthermore, this study introduces innovative analytical tools for researchers in software project management, software engineering and related fields, providing a foundation for future work in areas such as cost estimation and hybrid project management. These insights contribute to a deeper understanding of Agile’s role in fostering collaboration and adaptability in dynamic digital ecosystems.

SoftwareVol. 4(2)
Universidad Nebrija (ES), Universidad Europea de Madrid (ES)
Openalex Percentile: Top 9%
Software Engineering Research
3.25
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