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Team Size Dynamics: A Study on Factors Influencing Pull Request Acceptance in Open-Source Software Repositories

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.13, No. 1)

Publication Date:

Authors : ; ;

Page : 1-35

Keywords : pull-based development; pull requests; software engineering; non-parametric tests; Mann-Whitney U test; Chi-Square test; practical significance; machine learning; classification;

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Abstract

In contemporary software development, Pull-Based Development has become the prevalent methodology, prompting extensive research into the factors influencing the success of contributions. Our study delves into numerous factors while specifically investigating the pivotal role of team size in the evaluation and acceptance of pull requests. The significance of team size is underscored by its historical importance in guiding the choice of software methodologies. Our findings reveal that team size impacts the decision-making process concerning pull requests. The factors influencing these decisions are affected by team size, emphasizing the necessity of considering this variable in modern software projects. Our research illuminates the complex dynamics of pull-based development, providing valuable insights for project owners and developers alike.

Last modified: 2024-01-23 00:09:49