Paper Title

An Analysis of BPA and ANN Applications used in Enhancement of Software Reliability

Article Identifiers

Registration ID: IJNRD_183701

Published ID: IJNRD2210174

DOI: Click Here to Get

Authors

Ms. Mahima , Dr, Mukesh Singla

Keywords

An Analysis of BPA and ANN Applications used in Enhancement of Software Reliability

Abstract

Neural networks are a computational metaphor inspired studies of the brain and nervous system in biological organisms. They are highly idealized mathematical models of how understand the essence of these simple nervous systems. Reliability in the general engineering sense, is the probability. It gives component or system in a define environment will operate correctly for a specified period of time. An important issue in developing such software systems is to produce high quality software system that satisfies user requirements. Software reliability models specify some reasonable form for this distribution, and are fitted to data from a software project. Once a model demonstrates a good fit to the available data, it can be used to determine the current reliability of the software, and predict the reliability of the software at future times.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. Finally, the involved mathematical models are shown and explained.

How To Cite (APA)

Ms. Mahima & Dr, Mukesh Singla (October-2022). An Analysis of BPA and ANN Applications used in Enhancement of Software Reliability. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(10), 373-381. https://ijnrd.org/papers/IJNRD2210174.pdf

Issue

Volume 7 Issue 10, October-2022

Pages : 373-381

Other Publication Details

Paper Reg. ID: IJNRD_183701

Published Paper Id: IJNRD2210174

Downloads: 000121979

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2210174.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2210174

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

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