Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 26 April 2021 / Approved: 27 April 2021 / Online: 27 April 2021 (12:52:15 CEST)

How to cite: Barzegar, A. Measuring Software Quality Product Based on Fuzzy Inference System Techniques in ISO Standard. Preprints 2021, 2021040721 (doi: 10.20944/preprints202104.0721.v1). Barzegar, A. Measuring Software Quality Product Based on Fuzzy Inference System Techniques in ISO Standard. Preprints 2021, 2021040721 (doi: 10.20944/preprints202104.0721.v1).

Abstract

The success of a software product depends on several factors. Given that different organizations and institutions use software products, the need to have a quality and desirable software according to the goals and needs of the organization makes measuring the quality of software products an important issue for most organizations and institutions. To be sure of having the right software. It is necessary to use a standard quality model to examine the features and sub-features for a detailed and principled study in the quality discussion. In this study, the quality of Word software was measured. Considering the importance of software quality and to have a good and usable software in terms of quality and measuring the quality of software during the study, experts and skilled in this field were used and the impact of each factor and quality characteristics. It was applied at different levels according to their opinion to make the result of measuring the quality of Word software more accurate and closer to reality. In this research, the quality of the software product is measured based on the fuzzy inference system in ISO standard. According to the results obtained in this study, it is understood that quality is a continuous and hierarchical concept and the quality of each part of the software at any stage of production can lead to high quality products.

Subject Areas

software quality; fuzzy logic; ISO standard; quality model; usability

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