Web Based Application Maintenance Time Estimation Modeling by Bayesian SEM
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Keywords:
Web based application software maintenance Factor analysis Structural equation modeling Bootstrap Bayesian analysis
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Abstract
The objectives of this research were to find out the coefficient and other parameter estimation under unknown distribution and compare new model’s coefficient accuracy with [19]. This new coefficient and parameter were estimated with Bayesian analysis instead of Maximum likelihood. The model used in Bayesian analysis was start from the ML-model result from [19]. The new values were replaced into the former model then MMRE was detected from 30 completed software maintenance projects. The result of cross validation was about 40.32% while the ML-model was 42.55%.
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