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Journal of Electronic Testing

Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System

  • 28-09-2021
Published in:
Authors
Milos Milovancevic
Aleksandar Dimov
Kamen Boyanov Spasov
Ljubomir Vračar
Miroslav Planić
Published in
Journal of Electronic Testing | Issue 4/2021

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Abstract

The article explores the importance of software reliability in modern software development, focusing on the evaluation of various software reliability models using an adaptive neuro-fuzzy inference system. By analyzing datasets from different software systems, the study identifies the most effective models and their combinations for predicting software failures. The neuro-fuzzy approach offers a unique perspective on software reliability assessment, highlighting the potential for improved accuracy in predicting software reliability.
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previous article Review of Manufacturing Process Defects and Their Effects on Memristive Devices
next article Clock-Less DFT and BIST for Dual-Rail Asynchronous Circuits
Title
Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System
Authors
Milos Milovancevic
Aleksandar Dimov
Kamen Boyanov Spasov
Ljubomir Vračar
Miroslav Planić
Publication date
28-09-2021
Publisher
Springer US
Published in
Journal of Electronic Testing / Issue 4/2021
Print ISSN: 0923-8174
Electronic ISSN: 1573-0727
DOI
https://doi.org/10.1007/s10836-021-05964-y
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