Test Case Generation and Reuse Based on Support Vector Machine Regression Model

被引：0

作者：

Qian Z.-S. ^{[1
]}

Yu Q.-Y. ^{[1
]}

Song T. ^{[1
]}

Zhu Y.-M. ^{[1
]}

Zhu J. ^{[1
]}

Zhao C. ^{[1
]}

机构：

[1] School of Information Management, Jiangxi University of Finance & Economics, Nanchang

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2021年 / 49卷 / 07期

关键词：

Fitness; Genetic algorithm; Support vector machine; Test case; Test reuse;

D O I：

10.12263/DZXB.20200426

中图分类号：

学科分类号：

摘要：

In the field of software testing, it is a hot research spot to generate test cases using genetic algorithm. In the traditional process of generating test cases by genetic algorithm, it is necessary to calculate the fitness of each individual. In order to reduce the time consumption of fitness calculation and reuse test cases, a test case generation and reuse method based on support vector machine regression model is proposed. In the process of using genetic algorithm to generate test cases, a certain number of individuals and their fitness are used as samples to train the support vector machine regression model. In the subsequent population evolution, individual fitness is calculated according to the regression model. At the same time, individuals with higher fitness are found by the regression model and applied to the evolution of the new population. In the experiment on a large program, compared with that of the same classical method, the coverage rate of this approach is increased by 3% and the average evolutional time is also reduced by 85.97%. © 2021, Chinese Institute of Electronics. All right reserved.

引用

页码：1386 / 1391

页数：5

共 5 条

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