Measuring Software Product Quality Based on Fuzzy Inference System Techniques in ISO Standard

Software quality is a critical factor for the overall success and acceptability of software products. To evaluate software quality effectively, standardized models consider both major characteristics and sub-features of the software. As these sub-features often conflict with one another, a crisp and exact approach is neither feasible nor effective. The novelty of this study is to evaluate the quality of Microsoft Word using a hierarchical three-level model based on a Fuzzy Inference System (FIS) aligned with the International Organization for Standardization (ISO)/International Electrotechnical Commission (IEC) 25010 standard. Expert judgments were employed to determine weights for the relative importance of each quality attribute to enhance the realism and accuracy of the assessment. The research establishes that software quality is a hierarchical and dynamic concept, whereby the quality of components across various phases of development directly impacts the quality of the final product and stresses the role played by formal quality evaluation models in guiding the growth and selection of effective and user-oriented software solutions.