Employing Contribution and Quality Metrics for Quantifying the Software Development Process

被引：5
|
作者：
Diamantopoulos, Themistoklis [1 ]
Papamichail, Michail D. [1 ]
Karanikiotis, Thomas [1 ]
Chatzidimitriou, Kyriakos C. [1 ]
Symeonidis, Andreas L. [1 ]
机构：
[1] Aristotle Univ Thessaloniki, Elect & Comp Engn, Thessaloniki, Greece
来源：
2020 IEEE/ACM 17TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES, MSR | 2020年
关键词：
mining software repositories; contribution analysis; DevOps; GitHub issues; code violations; ACCURATE;
D O I：
10.1145/3379597.3387490
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The full integration of online repositories in contemporary software development promotes remote work and collaboration. Apart from the apparent benefits, online repositories offer a deluge of data that can be utilized to monitor and improve the software development process. Towards this direction, we have designed and implemented a platform that analyzes data from GitHub in order to compute a series of metrics that quantify the contributions of project collaborators, both from a development as well as an operations (communication) perspective. We analyze contributions throughout the projects' lifecycle and track the number of coding violations, this way aspiring to identify cases of software development that need closer monitoring and (possibly) further actions to be taken. In this context, we have analyzed the 3000 most popular GitHub Java projects and provide the data to the community.
引用
收藏
页码：558 / 562
页数：5
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