DocumentCode
596151
Title
An Empirical Study of Reliability Growth of Open versus Closed Source Software through Software Reliability Growth Models
Author
Ullah, Niamat ; Morisio, Maurizio
Author_Institution
Control & Comput. Eng. Dept., Politec. Di Torino, Turin, Italy
Volume
1
fYear
2012
fDate
4-7 Dec. 2012
Firstpage
356
Lastpage
361
Abstract
The purpose of this study is to analyze the reliability growth of Open Source Software (OSS) versus software developed in-house (i.e. Closed Source Software, CSS) using Software Reliability Growth Model. This study uses 22 datasets containing failure data of CSS and 18 datasets containing defect data of OSS projects. The failure data are modelled by eight SRGM (Musa Okumoto, Inflection S-Shaped, Goel Okumoto, Delayed S-Shaped, Logistic, Gompertz, Yamada Exponential, and Generalized Goel Model). These models are chosen due to their widespread use. The results can be summarized as follows All selected SRGM fit to defect data of the OSS projects in the same manner as that of CSS. OSS reliability grows similarly to that of CSS. Musa Okumoto and Inflection S-Shaped perform well for CSS, while for OSS Inflection S-Shaped and Gompertz are good performers. SRGM can be used for reliability characterization of OSS projects.
Keywords
public domain software; software reliability; Goel Okumoto model; Gompertz model; Musa Okumoto model; SRGM; Yamada exponential model; closed source software; delayed S-shaped model; generalized Goel model; in-house software development; inflection S-shaped model; logistic model; open source software; software reliability growth model; Accuracy; Cascading style sheets; Data models; Predictive models; Software; Software reliability; Failure Data; Open Source Software; SRGM; Software Reliability Growth Models; Software Reliability Models;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering Conference (APSEC), 2012 19th Asia-Pacific
Conference_Location
Hong Kong
ISSN
1530-1362
Print_ISBN
978-1-4673-4930-7
Type
conf
DOI
10.1109/APSEC.2012.80
Filename
6462680
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