Relationships analysis between quality factors for web applications

Abstract

Software product quality should be evaluated using a defined quality model. The problem with earlier models was the lack of ability to account fbr dependency between the quality factors. In this paper, a case study on three different Web domains, i.e., academic, e-commerce and museum has been conducted to investigate the existence of interactions and dependencies between quality factors. The Pearson correlation technique has been applied in this study. The result indicated that for all 6 pairs of quality factors, for each pair, they are correlated to each other in all three domains. This means that there are interactions and dependencies between quality factors.