|Table of Contents|

[1] Chen Xiang, Lu Fengyan, Shen Yuxiang, et al. Analogy-based software effort estimationusing multi-objective feature selection [J]. Journal of Southeast University (English Edition), 2018, 34 (3): 295-302. [doi:10.3969/j.issn.1003-7985.2018.03.003]

Analogy-based software effort estimationusing multi-objective feature selection()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2018 3
Research Field:
Computer Science and Engineering
Publishing date:


Analogy-based software effort estimationusing multi-objective feature selection
Chen Xiang1 2 Lu Fengyan1 Shen Yuxiang1 Xie Junfeng1 Wen Wanzhi1
1 School of Computer Science and Technology, Nantong University, Nantong 226019, China
2 State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
software effort estimation multi-objective optimization case-based reasoning feature selection empirical study
The feature selection in analogy-based software effort estimation(ASEE)is formulized as a multi-objective optimization problem. One objective is designed to maximize the effort estimation accuracy and the other objective is designed to minimize the number of selected features. Based on these two potential conflict objectives, a novel wrapper-based feature selection method, multi-objective feature selection for analogy-based software effort estimation(MASE), is proposed. In the empirical studies, 77 projects in Desharnais and 62 projects in Maxwell from the real world are selected as the evaluation objects and the proposed method MASE is compared with some baseline methods. Final results show that the proposed method can achieve better performance by selecting fewer features when considering MMRE(mean magnitude of relative error), MdMRE(median magnitude of relative error), PRED(0.25), and SA(standardized accuracy)performance metrics.


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Biography: Chen Xiang(1980—), male, doctor, associate professor, xchencs@ntu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61602267, 61202006), the Open Project of State Key Laboratory for Novel Software Technology at Nanjing University(No.KFKT2016B18).
Citation: Chen Xiang, Lu Fengyan, Shen Yuxiang, et al. Analogy-based software effort estimation using multi-objective feature selection[J].Journal of Southeast University(English Edition), 2018, 34(3):295-302.DOI:10.3969/j.issn.1003-7985.2018.03.003.
Last Update: 2018-09-20