document: Reliability analysis using weighted combinational models for web-based software 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 .
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