DocumentCode :
707630
Title :
Automatic test data generation approach using Swine Influenza Models Based Optimization (SIMBO) with dominance concepts
Author :
Singla, Sanjay ; Kumar, Raj ; Kumar, Dharminder
Author_Institution :
UIET, MDU Rohatk, Rohatk, India
fYear :
2015
fDate :
11-13 March 2015
Firstpage :
2159
Lastpage :
2164
Abstract :
This paper is based on Swine Influenza Models Based Optimization (SIMBO) natural computing technique which is used to automatic software test data generation. The concept of dominance relation between nodes has been used as fitness function in this paper. Finally, the results in the paper show the effectiveness of SIMBO techniques as compare to Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).
Keywords :
automatic test software; optimisation; program testing; GA; PSO; SIMBO techniques; automatic software test data generation; dominance concepts; fitness function; genetic algorithm; natural computing technique; nodes dominance relation; particle swarm optimization; swine influenza models based optimization; Biological cells; Genetic algorithms; Optimization; Sociology; Software; Statistics; Testing; Data flow testing; Dominance Concept; Genetic algorithm (GA); Particle Swarm Optimization (PSO); Swine Influenza Models Based Optimization (SIMBO);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
Type :
conf
Filename :
7100620
Link To Document :
بازگشت