Treffer: A Fuzzy Fermatean TOPSIS Approach for Ranking Parameters in Software Testing.

Software testing is an essential part of the software development life cycle. It helps detect and fix faults before release, ensuring the final product is reliable, safe, and meets user expectations while saving time and cost. Many software reliability growth models aim to predict reliability and determine optimal release time, but few focus on identifying the factors that strongly influence the testing process. This study enhances this aspect by proposing a structured prioritization approach using the fuzzy Fermatean TOPSIS (FFT) method. A real-world case study has been conducted to identify the parameters affecting testing (PATs) and their selection criteria. Expert opinions have been expressed using fuzzy Fermatean numbers (FFNs) to handle uncertainty, and the rank-sum method has been used to assign weights. The results show that automated testing, verification and validation, and testing coverage are the most critical parameters. The FFT approach has been found consistent and reliable for improving testing efficiency. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Reliability, Quality & Safety Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)