Modeling Multi‐Release Open Source Software Reliability Growth Process with Generalized Modified Weibull Distribution

2022 ◽  
pp. 123-133
Author(s):  
Vishal Pradhan ◽  
Ajay Kumar ◽  
Joydip Dhar
Keyword(s):  
Weibull Distribution ◽  
Open Source ◽  
Open Source Software ◽  
Software Reliability ◽  
Growth Process ◽  
Reliability Growth ◽  
Modified Weibull Distribution ◽  
Software Reliability Growth ◽  
Generalized Modified Weibull ◽  
Modified Weibull

A COMPONENT-ORIENTED RELIABILITY ASSESSMENT METHOD FOR OPEN SOURCE SOFTWARE

2008 ◽  
Vol 15 (01) ◽  
pp. 33-53 ◽  
Author(s):  
YOSHINOBU TAMURA ◽  
SHIGERU YAMADA
Keyword(s):  
Neural Network ◽  
Open Source ◽  
Open Source Software ◽  
Software Reliability ◽  
Reliability Assessment ◽  
Growth Modeling ◽  
Reliability Growth ◽  
Entire System ◽  
Development Environment ◽  
Software Reliability Growth

Software development environment has been changing into new development paradigms such as concurrent distributed development environment and the so-called open source project by using network computing technologies. Especially, an OSS (open source software) system which serves as key components of critical infrastructures in the society is still ever-expanding now. In case of considering the effect of the debugging process on an entire system in the development of a method of reliability assessment for the OSS, it is necessary to grasp the deeply-intertwined factors, such as programming path, size of each component, skill of fault reporter, and so on. In order to consider the effect of each software component on the reliability of an entire system, we propose a new approach to user-oriented software reliability assessment by creating a fusion of neural network and software reliability growth modeling. In this paper, we show application examples of component-oriented software reliability assessment based on neural network and software reliability growth modeling for the OSS. Also, we analyze actual software fault count data to show numerical examples of software reliability assessment for the OSS. Moreover, we develop the testing management tool for OSS.

An SRGM for Multi-Release Open Source Software System

2018 ◽  
Vol 15 (02) ◽  
pp. 1850011 ◽  
Author(s):  
Nidhi Nijhawan ◽  
Anu G. Aggarwal ◽  
Vikas Dhaka
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Reliability ◽  
Goodness Of Fit ◽  
Reliability Growth ◽  
Modeling Framework ◽  
Release Policy ◽  
Proposed Model ◽  
Software Reliability Growth ◽  
Optimal Release Policy

A number of software reliability growth models have been reported in the literature for open source software (OSS) systems but the effect of up-gradations on the reliability growth of multi-releases of such software systems has been discussed by a few. In this paper, the discrete modeling framework has been proposed to study the reliability growth process of OSS systems with multiple releases. The proposed model is based upon the assumption that during up-gradation some new faults are introduced in the code in addition to the left over fault content of the previous version. To validate our model, we have chosen two successful open source projects-Mozilla and Apache for its multi release failure datasets. Graphs representing goodness of fit of the proposed model have been drawn. The parameter estimates and measures of goodness of fit criteria suggest that the proposed software reliability growth model for multi-release OSS fits the actual datasets very well. An optimal release policy has been formulated by taking into account the cost of fault removal during testing and operational phases and reliability targets pre-specified by the decision makers. In addition, numerical example along with the sensitivity analysis has been provided to illustrate optimal release policy.

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