The application of fuzzy regression based on the trapezoidal fuzzy numbers to the software quality evaluation

被引:0
作者
Li, Kewen [1 ]
Zhang, Yu [1 ]
Liu, Wenying [1 ]
Gao, Junling [1 ]
机构
[1] College of Computer and Communication Engineering, China University of Petroleum, Qingdao, Shandong
关键词
Fuzzy regression; Software ouality; Trapezoidal fuzzy numbers;
D O I
10.4156/jcit.vol7.issue19.35
中图分类号
学科分类号
摘要
The results of software quality evaluation is closely related with users' experience, but current methods of software quality evaluation lack attention to user requirements because of the abstraction and complexity of software products. The paper presents a fuzzy regression model with trapezoidal fuzzy numbers to express the relationships between the user requirements and software features which can not only meet the fuzziness of the user requirements but meet the complexity of the software products in reality. An illustrated example is presented to show the application of the proposed model, and the results indicate the model is more flexible and lays a good foundation for analyzing the software products quality quantitatively.
引用
收藏
页码:293 / 300
页数:7
相关论文
共 13 条
[1]  
Tao D., Peide X., Yunxiang L., Xiangning S., Efficiency Evaluation of C3I System Based on the Fuzzy Regression Analysis, Computer Simulation, 22, 11, pp. 35-37, (2005)
[2]  
Zhenggang Y., Zhijun H., Jimei Z., Software Quality-Measurement Model Based on PCA, Ship electronic engineering, 25, 6, pp. 23-29, (2005)
[3]  
Jingshun L., Pei H., Method of Software Quality Evaluation Based on Fuzzy Neural Network, Computer technology and development, 16, 2, pp. 194-196, (2006)
[4]  
Chang C.-W., Wu C.-R., Lin H.-L., Integrating fuzzy theory and hierarchy concepts to evaluate software quality, Software Quality Journal, 16, 2, pp. 263-276, (2008)
[5]  
Rosqvist T., Koskela M., Harju H., Software Quality Evaluation Based on Expert Judgement, Software Quality Journal, 11, 1, pp. 39-55, (2003)
[6]  
Chen J., Wang H., Qian X., Wang C., Bruda S.D., Reinforcing Software Quality Measure by Indirect Coupling Metrics, Journal of Convergence Information Technology, 6, 12, pp. 229-237, (2011)
[7]  
Yu H., An Approach to Evaluating the Software Quality Based on Intelligent Computation with Intuitionistic Fuzzy Information, International Journal of Advancements in Computing Technology, 4, 4, pp. 276-282, (2012)
[8]  
Senere Z., Karsak E., A fuzzy regression and optimization approach for setting target levels in software quality function deployment, Software Quality Journal, 18, 3, pp. 323-339, (2010)
[9]  
Yen K.K., Ghoshray S., Roig G., A linear regression model using triangular fuzzy number coefficients, Fuzzy Sets and Systems, 106, 2, pp. 167-177, (1999)
[10]  
Tanaka H., Watada J., Possibilistic linear systems and their application to the linear regression model, Fuzzy Sets and Systems, 27, 3, pp. 275-289, (1988)