International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.10, No.5, May. 2018

Design of Generalized Weighted Laplacian Based Quality Assessment for Software Reliability Growth Models

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Chandra MouliVenkata Srinivas Akana, C. Divakar, Ch. Satyanarayana

Index Terms

Quality Assessment;Software Reliability Growth Models;residual fault;fault detection rate and NHPP


The reliability of a software depends on the quality. So, the software growth models require efficient quality assessment procedure. It can be estimated by various parameters. The current paper proposes a novel approach for assessment of quality based on the Generalized Weighted Laplacian (GWL) method. The proposed method evaluates various parameters for detection and removal time. The Mean Value Function (MVF) is then calculated and the quality of the software is estimated, based on the detection of failures. The proposed method is evaluated on process CMMI level 5 project data and the experimental results shows the efficiency of the proposed method.

Cite This Paper

Chandra MouliVenkata Srinivas Akana, C. Divakar, Ch. Satyanarayana, "Design of Generalized Weighted Laplacian Based Quality Assessment for Software Reliability Growth Models", International Journal of Information Technology and Computer Science(IJITCS), Vol.10, No.5, pp.48-54, 2018. DOI: 10.5815/ijitcs.2018.05.05


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