TY  - CONF
ID  - www2009146
UR  - http://www2009.eprints.org/146/
A1  - Hsu, Chao-Jung
A1  - Huang, Chin-Yu
Y1  - 2009/04//
N2  - In the past, some researches suggested that engineers can use combined software reliability growth models (SRGMs) to obtain more accurate reliability prediction during testing. In this paper, three weighted combinational models, namely, equal, linear, and nonlinear weight, are proposed for reliability estimation of web-based software. We further investigate the estimation accuracy of using genetic algorithm to determine the weight assignment for the proposed models. Preliminary result shows that the linearly and nonlinearly weighted combinational models have better prediction capability than single SRGM and equally weighted combinational model for web-based software.
TI  - Reliability Analysis Using Weighted Combinational Models for Web-based Software
SP  - 1131
M2  - Madrid, Spain
AV  - public
EP  - 1131
T2  - 18th International World Wide Web Conference
ER  -