An Empirical Study of Reliability Growth of Open versus Closed Source Software through Software Reliability Growth Models

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 dat...

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description 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.
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subjects Accuracy
Cascading style sheets
Data models
Failure Data
Open Source Software
Predictive models
Software
Software reliability
Software Reliability Growth Models
Software Reliability Models
SRGM
title An Empirical Study of Reliability Growth of Open versus Closed Source Software through Software Reliability Growth Models
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