An Empirical Study of the Impact of COVID-19 on OSS Development

被引：0

作者：

Ma, Lingfei ^{[1
]}

Nie, Liming ^{[2
]}

Mao, Chenxi ^{[3
]}

Zheng, Yaowen ^{[2
]}

Liu, Yang ^{[1
,2
]}

机构：

[1] Zhejiang Sci Tech Univ, Sch Informat Sci & Technol, Hangzhou, Peoples R China

[2] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore

[3] Zhejiang Sci Tech Univ, Sch Qixin, Hangzhou, Peoples R China

来源：

2022 IEEE 22ND INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY, AND SECURITY COMPANION, QRS-C | 2022年

基金：

中国国家自然科学基金;

关键词：

COVID-19; Open source software; Development process; Empirical study;

D O I：

10.1109/QRS-C57518.2022.00112

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper, we propose an analytical model that can analyze the impact of emergencies on open source software (OSS) development. As the core of this model, a metric system is used to comprehensively describe the OSS development process, which includes three dimensions: team activity, development activity, and development risk, with a total of 30 metrics. To demonstrate the effectiveness of the model, we construct an empirical study analyzing the impact of COVID-19 on OSS development. This study is based on the development process events between January 2019 and April 2022 belonging to 50 selected open source projects on GitHub. The results show that more than 72.4% of projects were negatively impacted following the COVID19 outbreak. Interestingly, we observe that variants of covide19 did not exacerbate its impact on software development. On the contrary, some project development activities have obviously resumed, indicating that the development team has adapted and gradually got rid of the impact of the epidemic.

引用

页码：708 / 717

页数：10

共 39 条

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