A Reliability Automatic Assessment Framework for Open Source Software

被引：3
|
作者：
Wang, Qian [1 ]
Jiang, Jianhui [1 ]
Li, Long [2 ]
机构：
[1] Tongji Univ, Sch Software Engn, Shanghai 201804, Peoples R China
[2] Huawei Technol Co Ltd, Shenzhen 518129, Peoples R China
来源：
2019 IEEE 24TH PACIFIC RIM INTERNATIONAL SYMPOSIUM ON DEPENDABLE COMPUTING (PRDC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
reliability assessment; open source software; software reliability growth model; JIRA;
D O I：
10.1109/PRDC47002.2019.00033
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In recent years, more and more companies have moved from closed source software development to open source software (OSS) development. The reliability assessment of OSS has become an important issue. However, due to the lack of a standardized development process and uncertain number of participating developers, it is hard to measure the reliability of OSS compared to closed source software. This paper proposes a framework for reliability automatic assessment of OSS based on JIRA. It contains the failure data acquisition module, the reliability modeling module and the reliability attribute analysis module. The proposed framework is applied on popular OSS Kafka to assess the reliability. The experimental results show that the proposed framework is good for the reliability assessment of OSS.
引用
收藏
页码：91 / 92
页数：2
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