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Software Reliability Prediction using Fuzzy Inference System: Early Stage Perspective

by Syed Wajahat A. Rizvi, Raees Ahmad Khan, Vivek Kumar Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 10
Year of Publication: 2016
Authors: Syed Wajahat A. Rizvi, Raees Ahmad Khan, Vivek Kumar Singh
10.5120/ijca2016910774

Syed Wajahat A. Rizvi, Raees Ahmad Khan, Vivek Kumar Singh . Software Reliability Prediction using Fuzzy Inference System: Early Stage Perspective. International Journal of Computer Applications. 145, 10 ( Jul 2016), 16-23. DOI=10.5120/ijca2016910774

@article{ 10.5120/ijca2016910774,
author = { Syed Wajahat A. Rizvi, Raees Ahmad Khan, Vivek Kumar Singh },
title = { Software Reliability Prediction using Fuzzy Inference System: Early Stage Perspective },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 10 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 16-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number10/25314-2016910774/ },
doi = { 10.5120/ijca2016910774 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:25.618386+05:30
%A Syed Wajahat A. Rizvi
%A Raees Ahmad Khan
%A Vivek Kumar Singh
%T Software Reliability Prediction using Fuzzy Inference System: Early Stage Perspective
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 10
%P 16-23
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper presents a reliability prediction model that predicts the reliability of the developing software using fuzzy inference system. The focus of the study is on the reliability prediction prior to the coding phase so that the developers use this information for optimally performing resource planning and quality assessment of the software under development. Requirements and object-oriented design level product measures have participated for early reliability prediction. The paper has also utilized the strengths of fuzzy logic to deal with the uncertainties and vagueness involved in the early stage measures. The model has also been statistically validated through the data set obtained through twenty real software projects. The values of the Pearson’s correlation coefficient along with the predictive accuracy measures are quite encouraging, and support that the developed model is a better and improved reliability prediction model.

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Index Terms

Computer Science
Information Sciences

Keywords

Software Reliability Early Stage Prediction Fuzzy Logic Software Defects Software Metrics Software Reliability Model.

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