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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Software Reliability Modeling Using Neural Network Technique |
| Authors Name: | Dr.Holkar S.R. , Dr.Manu Pratap Singh |
| Unique Id: | IJSDR2306176 |
| Published In: | Volume 8 Issue 6, June-2023 |
| Abstract: | Software reliability is defined as the probability of failure-free software operation for a specified period of time in a specified environment. Software reliability modeling has gained a lot of importance in the recent years. Criticality of software in many of the present day applications has led to a tremendous increase in the amount of work being carried out in this area. The use of intelligent neural network and hybrid techniques in place of the traditional statistical techniques has shown a remarkable improvement in the development of prediction models for software reliability in the recent years. Among the intelligent and the statistical techniques it is not easy to identify the best one since their performance varies with the change in data. In this paper, we propose an artificial neural network-based approach for developing the model for software reliability estimation. We first explain the neural networks from the mathematical viewpoints of software reliability modeling. That is, we will show how to apply neural network to develop a model for the prediction of software reliability. The implementation of proposed model is shown with real software failure data sets. From simulation results, we can see that the proposed model significantly outperforms the traditional software reliability models |
| Keywords: | Software Reliability model, estimation of software reliability, Artificial Neural network, Reliability Prediction |
| Cite Article: | "Software Reliability Modeling Using Neural Network Technique", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1255 - 1266, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306176.pdf |
| Downloads: | 000337352 |
| Publication Details: | Published Paper ID: IJSDR2306176 Registration ID:207337 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: 1255 - 1266 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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