DocumentCode
2298046
Title
An approach to automatic generating test data for multi-path coverage by genetic algorithm
Author
Sun, Jian Hua ; Jiang, Shu Juan
Author_Institution
Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
Volume
3
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
1533
Lastpage
1536
Abstract
Software test is an important step during software development. Improving the automation of software testing can increase the robustness of software and decrease the cost of development. The key of improving the automation ability of testing is improving the automatic test data generation. The paper presents a new method to generate test data for multi-path coverage. The method uses a two-dimensional matrix to record the paths whether the test data passed, and improve the fitness function to suit the new method. In the end, it presents a case study to evaluate the efficient of proposes an efficiency of the method.
Keywords
automatic test software; genetic algorithms; program testing; software cost estimation; automatic test data generation; fitness function; genetic algorithm; multipath coverage; software development cost; software testing; Algorithm design and analysis; Biological cells; Encoding; Input variables; Optimization; Software; Software testing; genetic algorithm; path coverage; software test;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583778
Filename
5583778
Link To Document