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Assessing Software Reliability using Inter Failures Time Data

by R Satya Prasad, Bandla Srinivasa Rao, R.R. L Kantham
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 7
Year of Publication: 2011
Authors: R Satya Prasad, Bandla Srinivasa Rao, R.R. L Kantham
10.5120/2300-2639

R Satya Prasad, Bandla Srinivasa Rao, R.R. L Kantham . Assessing Software Reliability using Inter Failures Time Data. International Journal of Computer Applications. 18, 7 ( March 2011), 1-3. DOI=10.5120/2300-2639

@article{ 10.5120/2300-2639,
author = { R Satya Prasad, Bandla Srinivasa Rao, R.R. L Kantham },
title = { Assessing Software Reliability using Inter Failures Time Data },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 7 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number7/2300-2639/ },
doi = { 10.5120/2300-2639 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:49.041104+05:30
%A R Satya Prasad
%A Bandla Srinivasa Rao
%A R.R. L Kantham
%T Assessing Software Reliability using Inter Failures Time Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 7
%P 1-3
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For critical business applications continuous availability is a requirement. Software reliability is an important component of continuous application availability. A single software defect can cause a system failure. To avoid these failures, reliable software is required. Due to schedule pressure, resource limitations, and unrealistic requirements in software development process, developing reliable software is difficult. To monitor software process variations and to improve reliability, the statistical Process Control (SPC) can be applied to software development process. SPC is a methodology that aims to provide process control in statistical terms. Control charts are the most common tools for determining whether a software process is under statistically control or not. In this paper we proposed a control mechanism, based on time between failures observations using exponential distribution, which is based on Non Homogeneous Poisson Process (NHPP).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Software reliability Statistical Process Control (SPC) NHPP MLE Probability limits

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