A Method for Test Case Generation by Improved Genetic Algorithm Based on Static Structure of Procedure

被引：0
|
作者：
Wen Jing [1 ]
Zhang Yikun [1 ]
Zhao Ming [1 ,2 ]
Chen Hao [1 ]
Hei Xinhong [1 ]
Shen Jianxiong [3 ]
机构：
[1] XiAn Univ Technol, Sch Comp Sci & Informat Technol, Xian, Shaanxi, Peoples R China
[2] Suzhou Insight Cloud Informat Technol Co Ltd, Suzhou, Peoples R China
[3] Shanghai Dev Res Ctr Econ & Informatizat, Dept Internet Econ Consultancy, Shanghai, Peoples R China
来源：
PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2017年
关键词：
test case; full-automatic; code coverage; static structure;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Software testing is an important method to guarantee software quality. For the large-scale complex software, some mistakes or errors will easily be overlooked if programs are detected only by manual work. Therefore, a full-automatic system is necessary to rapidly cover all program logics through calculation to achieve input and output; besides, the system can assist to generate a large number of test cases before manual intervention, and can find out some software defects to assist manual detection to complete compiling work of all test cases. In this paper, a combination of the static structure of procedure and improved genetic algorithm is proposed in order to implement a fully automatic test case generating technology, enhance the generating efficiency and coverage rate of codes, and also can help to save a lot of time in manual testing.
引用
收藏
页码：1499 / 1504
页数：6
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