NDLI: Application of feed-forward neural networks for software reliability prediction

Content Provider	ACM Digital Library
Author	Singh, Yogesh Kumar, Pradeep
Abstract	Many analytical models have been proposed for modeling software reliability growth trends with different predictive capabilities at different phases of testing yet there still is a need to develop a model that can be applied for accurate predictions in a realistic environment. In this paper we describe a software reliability prediction model using feed-forward neural network for better reliability prediction through back-propagation algorithm and discuss the issues of network architecture and data representation methods. We demonstrate a comparative analysis between the proposed approach and three well known software reliability growth prediction models using seven different failure datasets collected from standard software projects to test the validity of the presented method. A numerical example also has been cited to illustrate the results that revealed significant improvement by using Artificial Neural Network (ANN) over conventional statistical models based on NHPP.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISSN	01635948
DOI	10.1145/1838687.1838709
Journal	ACM SIGSOFT Software Engineering Notes (SOEN)
Volume Number	35
Issue Number	5
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1979-04-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Feed-forward backpropagation Artificial neural network Software reliability growth models
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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