An Empirical Analysis of Software Changes on Statement Entity in Java Open Source Projects

2012 ◽  
Vol 4 (2) ◽  
pp. 16-31 ◽  
Author(s):  
Xiaoyan Zhu ◽  
Qinbao Song ◽  
Zhongbin Sun
Keyword(s):  
Open Source ◽  
Empirical Analysis ◽  
Software Projects ◽  
Software Changes

Software projects keep changing all the time. Understanding the nature of the changes can help build higher quality projects. In this paper, the authors studied software changes on a new entity, statement. They found some types of statements are more likely to change than others. Furthermore, the authors studied software changes to fix bugs and also found some types of statements are more likely to change than others to fix bugs. These statements are more likely to cause bugs, which should be paid more attention to.

What Makes Open Source Software Projects Impactful: A Data-Driven Approach

2020 ◽  
Author(s):  
Huaiwei Yang ◽  
Shuang Liu ◽  
Lin Gui ◽  
Yongxin Zhao ◽  
Jun Sun ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Data Driven ◽  
Software Projects ◽  
Data Driven Approach

scholarly journals The Labor of Maintaining and Scaling Free and Open-Source Software Projects

2021 ◽  
Vol 5 (CSCW1) ◽  
pp. 1-28
Author(s):  
R. Stuart Geiger ◽  
Dorothy Howard ◽  
Lilly Irani
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Projects

The State and Profile of Open Source Software Projects in health and medical informatics

2009 ◽  
Vol 78 (7) ◽  
pp. 457-472 ◽  
Author(s):  
Balaji Janamanchi ◽  
Evangelos Katsamakas ◽  
Wullianallur Raghupathi ◽  
Wei Gao
Keyword(s):  
Open Source ◽  
Medical Informatics ◽  
Open Source Software ◽  
The State ◽  
Software Projects

The Effects of Communication Patterns on the Success of Open Source Software Projects

2016 ◽  
Vol 24 (4) ◽  
pp. 22-44 ◽  
Author(s):  
Jing Wu ◽  
Khim-Yong Goh ◽  
He Li ◽  
Chuan Luo ◽  
Haichao Zheng
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Fixed Effects ◽  
Communication Patterns ◽  
Estimation Model ◽  
Software Projects ◽  
Team Members ◽  
Analysis Methodology ◽  
Model Following ◽  
Time Period

Drawing on the theoretical lens of communication patterns in organizational theory, this research analyzed the longitudinal success of open source software (OSS) projects by employing social network analysis method, based on extensive analyses of empirical data. This study is expected to provide an understanding on how communication patterns established in different roles and different levels. The authors not only measured OSS success from both developers and users' perspectives, but also extended the existing research by including the potential relationships among these success measures in the estimation model. Following the panel data econometric analysis methodology, they evaluated their research hypotheses using the Three-Stage Least Squares model, accounting for both time-period and project fixed effects. The authors' results indicated that according to the objectives of projects, a proper and planned control for the communication among team members is crucial for the success of OSS projects.

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