An updated software reliability model using the shanker model and failure data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F24%3A10255614" target="_blank" >RIV/61989100:27740/24:10255614 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/10.1002/qre.3512" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/qre.3512</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/qre.3512" target="_blank" >10.1002/qre.3512</a>
Alternative languages
Result language
angličtina
Original language name
An updated software reliability model using the shanker model and failure data
Original language description
Software developers' goal is to develop reliable and superior software. Due to the fact that software errors frequently generate large societal or financial losses, software reliability is essential. Software reliability growth models are a widely used technique for software reliability assessment. This study examines various nonhomogeneous Poisson process models with the newly developed software reliability distribution and evaluates the unknown model parameters based on frequentist and Bayesian methods of estimation. Finally, we conduct evaluations on real datasets using a variety of evaluation criteria to compare the results of previous software reliability growth models and show how the proposed model may be applied under both approaches in a practical setting. According to this study, the innovative model's mean square error, R2, (Formula presented.), bias, predicted relative variation, Theil statistic, and mean error of prediction values show the lowest values under the Bayesian approach for data sets II to IV, and both approaches perform well for data set I. These implementation findings demonstrate the effectiveness of our specific approach based on our examination of failure data. (C) 2024 John Wiley & Sons Ltd.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Quality and Reliability Engineering International
ISSN
0748-8017
e-ISSN
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Volume of the periodical
40
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
2078-2095
UT code for WoS article
001173266000001
EID of the result in the Scopus database
2-s2.0-85186912751