Automatic Test Case Generation for Unit Software Testing Using Genetic Algorithm and Mutation Analysis

被引:0
作者
Khan, Rijwan [1 ]
Amjad, Mohd. [1 ]
机构
[1] Jamia Millia Islamia, Fac Engn & Technol, Dept Comp Engn, New Delhi, India
来源
2015 IEEE UP SECTION CONFERENCE ON ELECTRICAL COMPUTER AND ELECTRONICS (UPCON) | 2015年
关键词
Genetic Algorithms (GA); Mutation Analysis; Software Testing; Automatic Test Cases;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Software Engineers waste a lot of their time in the process of software testing. It also has been seen in the industries that a lot of money is depleting on the software process. In software testing process we apply test cases as input and check for final output. So our first concern is to choose the appropriate test cases for the software testing process. To give the correct output, it is very difficult to choose test cases. So generation of the test cases is a NP problem. To generate automatic test cases many nature inspired optimization algorithms have been used. These nature inspired optimization algorithms help to generate appropriate test cases. In this paper for generating automatic test cases genetic algorithm and mutation analysis had been used.
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页数:5
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