Prediction and Estimation of Fault Detection Process in Software Reliability Assessment

Prediction and Estimation of Fault Detection Process in Software Reliability Assessment

K.Venkata Subba Reddy Ph.D in Computer Science and Engineering

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Prof. I. Ramesh Babu

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Osmania University

Prediction and Estimation of Fault Detection Process in Software Reliability Assessment

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Abstract

In Software Engineering, an important activity is measuring of the Software in different ways. For Measuring the Software, appropriate metrics are needed. Using Software metrics we are able to attain the various qualitative and quantitative aspects of Software. To measure the Software in terms of quality, size, efforts, efficiency, and reliability, performance etc. we have different metrics available in Software Engineering and it has been an area of interest for the various researchers. Measures of specific attributes of the process, project and product are used to compute Software metrics. This work proposes a similar approach of measuring software using various UML diagrams and applied Software size metric to evaluate the size of the Software. This paper discusses the proposed approach using two different case studies and their source codes. This paper discusses the different results obtained using different perspectives of the Software size metric measurements and maintainability of the Software.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

K.Venkata Subba Reddy. 2016. \u201cPrediction and Estimation of Fault Detection Process in Software Reliability Assessment\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C8): .

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GJCST Volume 15 Issue C8
Pg. 13- 17

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Classification

D.2.4 D.4.8 D.2.9

Submission ReceivedDecember 9, 2014
Peer Review Double Blind
Handling Editor
Accepted January 3, 2015
Published January 15, 2015

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v1.2

Issue date

January 18, 2016

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Total Score: 102

Country: Unknown

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: K.Venkata Subba Reddy, Prof. I. Ramesh Babu (PhD/Dr. count: 0)

View Count (all-time): 340

Total Views (Real + Logic): 7862

Total Downloads (simulated): 1968

Publish Date: 2016 01, Mon

Monthly Totals (Real + Logic):

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Total Views: 7862

Total Downloads: 1968

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