SREPT: A tool for software reliability estimation and prediction
Publication
, Journal Article
Trivedi, KS
Published in: Proceedings of the 2002 International Conference on Dependable Systems and Networks
December 1, 2002
A tool called Software Reliability Estimation and Prediction Tool (SREPT) that seeks to address the limitation given in other tools is presented. Unlike most models that assume instantaneous and perfect debugging, SREPT allows the users to analyze the effect of non-zero debug times to reflect more realistic scenarios. SREPT is planned to accept the architecture of the application modeled as a discrete or continuous time Markov chain, directed acyclic graph, stochastic Petri net, product form or non-product form queueing network. Thus, the architecture of such an application will be combined with the failure behavior of its components to provide architecture-based software reliability and performance predictions.
Duke Scholars
Published In
Proceedings of the 2002 International Conference on Dependable Systems and Networks
DOI
Publication Date
December 1, 2002
Start / End Page
546
Citation
APA
Chicago
ICMJE
MLA
NLM
Trivedi, K. S. (2002). SREPT: A tool for software reliability estimation and prediction. Proceedings of the 2002 International Conference on Dependable Systems and Networks, 546. https://doi.org/10.1109/DSN.2002.1028977
Trivedi, K. S. “SREPT: A tool for software reliability estimation and prediction.” Proceedings of the 2002 International Conference on Dependable Systems and Networks, December 1, 2002, 546. https://doi.org/10.1109/DSN.2002.1028977.
Trivedi KS. SREPT: A tool for software reliability estimation and prediction. Proceedings of the 2002 International Conference on Dependable Systems and Networks. 2002 Dec 1;546.
Trivedi, K. S. “SREPT: A tool for software reliability estimation and prediction.” Proceedings of the 2002 International Conference on Dependable Systems and Networks, Dec. 2002, p. 546. Scopus, doi:10.1109/DSN.2002.1028977.
Trivedi KS. SREPT: A tool for software reliability estimation and prediction. Proceedings of the 2002 International Conference on Dependable Systems and Networks. 2002 Dec 1;546.
Published In
Proceedings of the 2002 International Conference on Dependable Systems and Networks
DOI
Publication Date
December 1, 2002
Start / End Page
546