creators_name: Hsu, Chao-Jung
creators_name: Huang, Chin-Yu
type: conference_item
datestamp: 2009-04-06 19:13:07
lastmod: 2009-04-07 14:02:58
metadata_visibility: show
title: Reliability Analysis Using Weighted Combinational Models for Web-based Software
ispublished: pub
full_text_status: public
pres_type: poster
abstract: 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.
date: 2009-04
pagerange: 1131-1131
event_title: 18th International World Wide Web Conference
event_location: Madrid, Spain
event_dates: April 20th-24th, 2009
event_type: conference
refereed: TRUE
citation: Hsu, Chao-Jung <http://www2009.eprints.org/view/author/Hsu=3AChao-Jung=3A=3A.html> and Huang, Chin-Yu <http://www2009.eprints.org/view/author/Huang=3AChin-Yu=3A=3A.html> (2009) Reliability Analysis Using Weighted Combinational Models for Web-based Software. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain.
document_url: http://www2009.eprints.org/146/1/p1131.pdf