Statistical Inference on Software Reliability Assuming Exponential Fault Correction Time

Harishchandra Kodialbail () and Manjunatha Kammasandra M. ()
Additional contact information
Harishchandra Kodialbail: Department of Statistics, Bangalore University, Bangalore-560 056, India.
Manjunatha Kammasandra M.: Department of Statistics, Bangalore University, Bangalore-560 056, India.

Stochastics and Quality Control, 2010, vol. 25, issue 2, 269-279

Abstract: Most of the software reliability models are based on reliability growth models which deal only with the fault detection process. In such models it is assumed that faults are corrected immediately after being detected or the time to correct a fault is not taken into account. This assumption may not be realistic in practice. In this paper we propose a software reliability model taking into account the fault correction time. The software failure times as well as correction times are assumed to be exponential. The model is formulated as an alternating renewal process. The properties of the reliability model are studied through the renewal process. The system parameters are estimated by means of the maximum likelihood estimators and the properties of the estimators are discussed. We also propose some large sample tests for the system parameters. Some numerical studies are made to evaluate the power of the tests.

Keywords: Software reliability; fault detection process; fault correction process; maximum likelihood estimation; renewal process; asymptotic test; power of test statistic (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/eqc.2010.019 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:ecqcon:v:25:y:2010:i:2:p:269-279:n:10

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html

DOI: 10.1515/eqc.2010.019

Access Statistics for this article

Stochastics and Quality Control is currently edited by George P. Yanev

More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().