A Method of OSS Reliability Assessment Based on Public Repository Analysis

被引：2
|
作者：
Miyamoto, Hoichiro [1 ]
Tamura, Yoshinobu [1 ]
Yamada, Shigeru [2 ]
机构：
[1] Yamaguchi Univ, Yamaguchi, Japan
[2] Tottori Univ, Tottori, Japan
来源：
INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING | 2023年 / 30卷 / 05期
关键词：
Open source software; software reliability; software repository; deep learning; repository mining;
D O I：
10.1142/S0218539323500213
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Open Source Software (OSS) is developed by various developers. Moreover, OSS user is increasing all over the world. There are various methods to maintain the software. Large-scale OSS projects mainly use bug tracking system (BTS) for bug management. Recently, OSS project uses public software repository to publish software such as GitHub. Public software repository has a function to report software issue. In the past, several researchers have proposed reliability assessment method using BTS. In this research, we propose a reliability assessment method based on deep learning using software repository analysis.
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收藏
页数：12
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