An Evidential Software Risk Evaluation Model

Software risk management is an important factor in ensuring software quality. Therefore, software risk assessment has become a significant and challenging research area. The aim of this study is to establish a data-driven software risk assessment model named DDERM. In the proposed model, experts’ ri...

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Bibliographic Details
Published in:Mathematics (Basel) 2022-07, Vol.10 (13), p.2325
Main Authors: Chen, Xingyuan, Deng, Yong
Format: Article
Language:English
Subjects:
Decision making
Dempster–Shafer evidence theory
Deng entropy
Fault diagnosis
Fuzzy sets
Hypotheses
Methods
Optimization techniques
Quality assessment
Risk assessment
Risk management
risk matrix
Set theory
Software
software risk evaluation
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Summary:Software risk management is an important factor in ensuring software quality. Therefore, software risk assessment has become a significant and challenging research area. The aim of this study is to establish a data-driven software risk assessment model named DDERM. In the proposed model, experts’ risk assessments of probability and severity can be transformed into basic probability assignments (BPAs). Deng entropy was used to measure the uncertainty of the evaluation and to calculate the criteria weights given by experts. In addition, the adjusted BPAs were fused using the rules of Dempster–Shafer evidence theory (DST). Finally, a risk matrix was used to get the risk priority. A case application demonstrates the effectiveness of the proposed method. The proposed risk modeling framework is a novel approach that provides a rational assessment structure for imprecision in software risk and is applicable to solving similar risk management problems in other domains.
ISSN:2227-7390
2227-7390
DOI:10.3390/math10132325