DocumentCode :
2791383
Title :
Identifying and Addressing Uncertainty in Architecture-Level Software Reliability Modeling
Author :
Cheung, Leslie ; Golubchik, Leana ; Medvidovic, Nenad ; Sukhatme, Gaurav
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA
fYear :
2007
fDate :
26-30 March 2007
Firstpage :
1
Lastpage :
6
Abstract :
Assessing reliability at early stages of software development, such as at the level of software architecture, is desirable and can provide a cost-effective way of improving a software system´s quality. However, predicting a component´s reliability at the architectural level is challenging because of uncertainties associated with the system and its individual components due to the lack of information. This paper discusses representative uncertainties which we have identified at the level of a system´s components, and illustrates how to represent them in our reliability modeling framework. Our preliminary evaluation indicates promising results in our framework´s ability to handle such uncertainties.
Keywords :
software architecture; software quality; software reliability; uncertain systems; components reliability; software architecture; software development; software reliability modeling; software systems quality; Computer architecture; Hidden Markov models; Information resources; Predictive models; Programming; Software architecture; Software quality; Software reliability; Software systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
Conference_Location :
Long Beach, CA
Print_ISBN :
1-4244-0910-1
Electronic_ISBN :
1-4244-0910-1
Type :
conf
DOI :
10.1109/IPDPS.2007.370524
Filename :
4228252
Link To Document :
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