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