Entropy based Software Reliability Growth Modelling for Open Source Software Evolution

被引：3
|
作者：
Tandon, Abhishek [1 ]
Sharma, Meera [2 ]
Kumari, Madhu [3 ]
Singh, V. B. [3 ]
机构：
[1] Univ Delhi, SSCBS, PSP Area 4,Dr KN Katju Marg,Sect 16, Delhi 110089, India
[2] Univ Delhi, Swami Shraddhanand Coll, Delhi 110036, India
[3] Univ Delhi, Delhi Coll Arts & Commerce, New Delhi 110023, India
来源：
TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2020年 / 27卷 / 02期
关键词：
entropy; feature improvement; new feature; open source software; FAULT-DETECTION; COMPLEXITY;
D O I：
10.17559/TV-20181031061451
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
During Open Source Software (OSS) development, users submit "new features (NFs)", "feature improvements (IMPs)" and bugs to fix. A proportion of these issues get fixed before the next software release. During the introduction of NFs and IMPs, the source code files change. A proportion of these source code changes may result in generation of bugs. We have developed calendar time and entropy-dependent mathematical models to represent the growth of OSS based on the rate at which NFs are added, IMPs are added, and bugs introduction rate.The empirical validation has been conducted on five products, namely "Avro, Pig, Hive, jUDDI and Whirr" of the Apache open source project. We compared the proposed models with eminent reliability growth models, Goel and Okumoto (1979) and Yamada et al. (1983) and found that the proposed models exhibit better goodness of fit.
引用
收藏
页码：550 / 557
页数：8
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