An Integrated Qualitative and Quantitative Analysis Module (QQAM) for Comprehensive Web Design Quality Evaluation

Abstract The quality of website design significantly affects user experience and accessibility. Evaluating website quality requires a holistic approach that encompasses both quantitative factors, such as performance and validation errors, and qualitative factors, such as usability and compliance with standards. This paper proposes an Integrated Qualitative and Quantitative Analysis Module (QQAM) that systematically assesses website quality by leveraging multiple automated tools including PowerMapper, HTML Validator, GTMetrix, and SortSite. QQAM integrates sitemap analysis, HTML validation, performance metrics, and quality characteristic assessment to produce a comprehensive evaluation of website quality status. Experimental application of QQAM on a sample site demonstrates its effectiveness in identifying structural, validation, performance, and compliance issues, providing actionable insights for website improvement. Keywords Website quality, qualitative analysis, quantitative analysis, web design evaluation, performance assessment, QQAM.