Paper Title
Analysis of Various Software Reliability Growth Models and Neural Networks Techniques used for Enhancement in Software Reliability
Article Identifiers
Authors
Ms. Roopa
Keywords
Software Reliability, Reliability Model, Neural Network. Mean Value Function, Failure Intensity Function.
Abstract
Software reliability is a key part in software quality. It is the ability of the software to perform its specified function under some specific condition. Reliability can be associated with both hardware and software. The hardware reliability can easily be evaluated since hardware get wear out but in case of software it be very difficult. So neural networks have been used for the last few decades in a broad variety of applications. In this paper we have studied the software reliability of neural network based and made a review on comparative analysis of existing software reliability growth models. The description and demonstration of the several types of neural networks are given, applications of neural networks like ANNs in medicine are described, and the detailed historical backgrounds are provided. The relationship between the artificial and the actual thing is also thoroughly investigated and explained.
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How To Cite (APA)
Ms. Roopa (July-2023). Analysis of Various Software Reliability Growth Models and Neural Networks Techniques used for Enhancement in Software Reliability. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), d552-d566. https://ijnrd.org/papers/IJNRD2307363.pdf
Issue
Volume 8 Issue 7, July-2023
Pages : d552-d566
Other Publication Details
Paper Reg. ID: IJNRD_202247
Published Paper Id: IJNRD2307363
Downloads: 000121982
Research Area: Engineering
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2307363.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307363
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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