A Ranking of Software Reliability Evaluation Based on Intuitionistic Fuzzy Aggregation Technique
Authors: 
Linxin Chen, Riqing Chen, Jian LinAuthors Info & Claims
Linxin Chen, Riqing Chen, Jian LinAuthors Info & ClaimsArticle No.: 101, Pages 1 - 8
Abstract
During the software life cycle, software reliability is limited by various uncertain factors, and relevant factors need to be aggregated for reliability evaluation. The influence of these factors on reliability is often determined by engineering experience and subjective judgment, which inevitably leads to subjectivity and vague, and fuzzy set theory is an effective method to deal with uncertain information. The research in this paper aims to help software development organizations complete the software engineering evaluations that are the efficient measures of software reliability. The metrics value of each evaluation criterion was elicited through expert opinion and an aggregation technology is then developed for transforming attribute values into intuitionistic fuzzy numbers (IFNs) to obtain the collective evaluation of each alternative. Next, according to the intuitionistic fuzzy weighted averaging operator, the collective attribute values are aggregated to overall evaluations of alternatives. Finally, the ranking functions are applied to indicate the score degree and the rank of each alternative. A practical example is provided for applying software project reliability evaluation to demonstrate the practicality and effectiveness of the proposed method.
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Published In
December 2021
699 pages
ISBN:9781450385053
DOI:10.1145/3508546
Copyright © 2021 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
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Published: 25 February 2022
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ACAI'21
ACAI'21: 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
December 22 - 24, 2021
Sanya, China
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