Title :
Automatic generation of software test cases based on improved genetic algorithm
Author :
Dong, Yuehua ; Peng, Jidong
Author_Institution :
Coll. of Inf. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
Abstract :
Software testing is the key of guaranteeing software quality, but the generation of testing data is one of the key steps which has a great effect on the automation of software testing, therefore the generation of testing data is relating the quality of software production indirectly. This article has analysed the basic principle of genetic algorithm on software testing detailedly, and on this basis, this article has improved the basic genetic algorithm and has put forward the automatic testcase generation functions based on improved genetic algorithm. At last, it contrast the improved genetic algorithm used in this article with the basic genetic algorithm by experiment analyse. It has proved that the improved genetic algorithm is superior to the basic genetic algorithm on effectiveness and efficiency of automatic testcase generation.
Keywords :
genetic algorithms; program testing; software quality; genetic algorithm; software quality; software test case automatic generation function; Algorithm design and analysis; Encoding; Genetic algorithms; Genetics; Software; Software testing; genetic algorithm; software testing; test case;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6002999