JACIII Vol.23 No.2 pp. 340-344
doi: 10.20965/jaciii.2019.p0340

Short Paper:

Efficient Prediction Method of Defect of Monitor Configuration Software

Yan Wang

Open Education Institute, Chengdu Radio and TV University
No.7, Section 1, Jianshe North Road, Chenghua District, Chengdu, Sichuan 610051, China

April 9, 2018
January 24, 2019
March 20, 2019
monitor configuration software, defect prediction, metric element, genetic optimization
Efficient Prediction Method of Defect of Monitor Configuration Software

Monitoring configuration software defect prediction steps

In order to solve the problem of low efficiency in software operation, we need to research the defect prediction of monitoring configuration software. The current method has the low efficiency in the defect prediction of software. Therefore, this paper proposed the software defect prediction method based on genetic optimization support vector machines. This method carried out feature selection for the measure of complexity of software, and built software defect prediction model of genetic optimized support vector machine, and completed the research on the efficient prediction method of software defects. Experimental results show that the proposed method improves the quality of software effectively.

Cite this article as:
Y. Wang, “Efficient Prediction Method of Defect of Monitor Configuration Software,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.2, pp. 340-344, 2019.
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Last updated on Apr. 22, 2019