An Intelligent Neural Model for Assessing Web Systems Performance
Ala Aldeen Al-Janabi · International Journal of Advanced Trends in Computer Science and Engineering · 2020
The information systems evaluation studies have frequently used the old-style tools such as questionnaires in assessing the effectiveness and performance of Web Systems (WS).Very few studies discussed the employment of artificial tools in the evaluation of such systems based on quality attributes because of lack of WS features data set.Consequently, this study is one of the fewest to evaluate WS performance using Artificial Neural Network ANN).To do this, the study builds a data set of 200 records of WIS quality metrics using questionnaire as a data collection tool where each instance consists of 22 standard quality and performance metrics.A percentage of 80 % (160 records) of data subjects are used in the training phase.The results analysis indicates that proposed ANN model has correctly predict the Web system performance at a percentage of 75%.Also, the results show that the quality and Web users benefits attributes influence the Web system performance positively.Finally, the function approximation of neural network is properly estimating such nonlinear relationships, and thus provide a valuable information about Web system performance.