Improving Software Reliability Prediction Using Various Soft Computing Techniques

Published in Journal

Journal of Advances and Scholarly Researches in Allied Education [JASRAE] (Vol:15/ Issue: 12) DOI: 10.29070/JASRAE
Authors: Neeta Tewari*, Alok Kumar Verma,
Subjects: Multidisciplinary Academic Research

Year: Dec, 2018
Volume: 15 / Issue: 12
Pages: 868 - 873 (6)
Publisher: Ignited Minds Journals
Source:
E-ISSN: 2230-7540
DOI:
Published URL: http://ipublisher.in/p/252516
Published On: Dec, 2018

Article Details

Improving Software Reliability Prediction Using Various Soft Computing Techniques | Original Article

Neeta Tewari*, Alok Kumar Verma, in Journal of Advances and Scholarly Researches in Allied Education | Multidisciplinary Academic Research

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ABSTRACT:

The reliability of software models is measured using the estimation of program errors. Trustworthiness is a real-world phenomenon with many related problems in real-time. A large number of soft computing techniques have been developed to find solutions to problems quickly, accurately, and acceptably but it is very hard to find the one most suitable and that is the one that can be used worldwide. In this paper, we have presented a summary of the software technologies that are possible, and then we have objectively examined the information reliability work performed by the different researchers. Furthermore, we have compared software reliability modeling techniques in software models.