DocumentCode :
3535984
Title :
Use of Clonal Selection Algorithm as Software Test Data Generation Technique
Author :
Pachauri, Ankur ; Gursaran, Gursaran
Author_Institution :
Dept. of Math., Dayalbagh Educ. Inst., Agra, India
fYear :
2012
fDate :
7-8 Jan. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Clonal selection algorithm is an algorithm that belongs to the class of immune algorithm inspired form clonal selection principle of biological immune system. Initially clonal selection algorithm was designed for machine learning approach and was used in pattern recognition process of artificial intelligence. The other implementation of clonal selection algorithm is in the field of function optimization, which had gained a tremendous attention of the researchers. We too had used the clonal selection algorithm for the software test data generation technique for branch coverage with some modification according to the requirement.
Keywords :
biology computing; data handling; learning (artificial intelligence); pattern recognition; program testing; artificial intelligence; biological immune system; clonal selection algorithm; immune algorithm; machine learning approach; pattern recognition process; software test data generation technique; Algorithm design and analysis; Approximation methods; Cloning; Machine learning algorithms; Software; Software algorithms; Testing; Clonal Selection Algorithm; Path-prefix strategy; Software test data generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2012 Second International Conference on
Conference_Location :
Rohtak, Haryana
Print_ISBN :
978-1-4673-0471-9
Type :
conf
DOI :
10.1109/ACCT.2012.118
Filename :
6168322
Link To Document :
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