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A Practical Approach to the Performance Analysis of Software Components using Calibrated Software Reliability Growth Models

by S. Charles Ilayaraja, M. Ganaga Durga
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 11
Year of Publication: 2013
Authors: S. Charles Ilayaraja, M. Ganaga Durga
10.5120/14621-2951

S. Charles Ilayaraja, M. Ganaga Durga . A Practical Approach to the Performance Analysis of Software Components using Calibrated Software Reliability Growth Models. International Journal of Computer Applications. 84, 11 ( December 2013), 25-30. DOI=10.5120/14621-2951

@article{ 10.5120/14621-2951,
author = { S. Charles Ilayaraja, M. Ganaga Durga },
title = { A Practical Approach to the Performance Analysis of Software Components using Calibrated Software Reliability Growth Models },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 11 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number11/14621-2951/ },
doi = { 10.5120/14621-2951 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:00:39.572334+05:30
%A S. Charles Ilayaraja
%A M. Ganaga Durga
%T A Practical Approach to the Performance Analysis of Software Components using Calibrated Software Reliability Growth Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 11
%P 25-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many software tools have been proposed for the purpose of performance analysis and measurement on software executables. The results produced by such tools are visually displayed based on run-time characteristics of software executables without suggesting the fitness of executables at the operational environment. This is because run-time characteristics of an executable are not static for every running instance even in the same platform and same machine configuration. In this paper, an efficient method has been introduced to estimate fitness of software executables to the operational environment by incorporating Software Reliability Growth Models. The objective of this new method is to suggest the level of fitness of software applications based on reliability measures. For this purpose, existing reliability growth models are calibrated and run-time attributes of executables have been employed instead of failure data. The estimation of fitness at the operational environment of software executables will reduce the complexities in both performance analysis and maintenance.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Application fit process calling structure run-time characteristics operational environment instrumentation process

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