Time to Discover and Fix Software Vulnerabilities in Open Source Software Projects: Notes on Measurement and Data Availability

Author(s):  
Steven M. Muegge ◽  
S. M. Monzur Murshed
2021 ◽  
Vol 14 (3) ◽  
pp. 58-69
Author(s):  
Madanjit Singh ◽  
Munish Saini ◽  
Manevpreet Kaur

This paper has statically investigated the source code of open source software (OSS) projects to uncover the presence of vulnerabilities in the code. The conducted research emphasizes that the presence of vulnerabilities has adverse effects on the overall software quality. The authors found the increasing trends in the vulnerabilities as the lines of code (LOC) increases during the software evolution. This signifies the fact that the addition of new features or change requests into the OSS project may cause an increase in vulnerability. Further, the relation between software vulnerabilities and popularity is also examined. This research does not find the existence of any relationship among software vulnerabilities and popularity. This research will provide significant implications to the developers and project managers to better understand the present state of the software.


Author(s):  
Huaiwei Yang ◽  
Shuang Liu ◽  
Lin Gui ◽  
Yongxin Zhao ◽  
Jun Sun ◽  
...  

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

2009 ◽  
Vol 78 (7) ◽  
pp. 457-472 ◽  
Author(s):  
Balaji Janamanchi ◽  
Evangelos Katsamakas ◽  
Wullianallur Raghupathi ◽  
Wei Gao

2016 ◽  
Vol 24 (4) ◽  
pp. 22-44 ◽  
Author(s):  
Jing Wu ◽  
Khim-Yong Goh ◽  
He Li ◽  
Chuan Luo ◽  
Haichao Zheng

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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