Fuzzy multi-attribute decision making for software defect detection model evaluation

被引：0
作者：
Lei Y. [1 ]
Ma Y. [1 ,2 ]
Chen S. [1 ]
Sun Y. [2 ,3 ]
Wu K. [1 ,4 ]
机构：
[1] Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen
[2] Key Laboratory of Data Mining and Intelligent Recommendation, Fujian Province University, No.600 Ligong Road, Jimei District, Xiamen
[3] Department of Education and Learning Technology, Naional Tsing Hua University, Kuang-Fu Road, Hsinchu, Taiwan
[4] Engineering Research Center for Software Testing and Evaluation of Fujian Province, No.600 Ligong Road, Jimei District, Xiamen
来源：
International Journal of Performability Engineering | 2020年 / 16卷 / 01期
关键词：
Model evaluation; Multi-objective decision making algorithm; Software defect detection;
D O I：
10.23940/ijpe.20.01.p9.7886
中图分类号：
学科分类号：
摘要：
With the continuous expansion of the computer system application field, the complexity of software system is also improving. Software defect detection has gradually become an important research direction in the field of software engineering. At present, the mixed statistics and machine learning methods have been proved to be able to implement software defect detection models well. However, the evaluation index of the detection model is diverse and it is difficult to determine which model evaluation indicators are in line with the actual expectations. Aiming at this kind of problem, a software defect detection model evaluation method based on fuzzy multi-objective attribute decision making is proposed. First, extract the characteristics of software modules, use McCabe and Halstead software modules to measure attributes. Then select five common classification algorithms to establish software defect detection models, and obtain seven evaluation index values of each model. Further, based on fuzzy multi-objective attribute decision making method with fuzzy analytic hierarchy process (FAHP) to compare multiple objectives, and obtain the results of index determination. Finally, the fuzzy evaluation algorithm is used to convert the evaluation index of qualitative evaluation into quantitative evaluation to obtain the final decision evaluation value. The experimental results show the effectiveness and practicality of the method. © 2020 Totem Publisher, Inc.
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页码：78 / 86
页数：8
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