Paper Info
Title
Test Case Generation for Modified Code Using a Variant of Particle Swarm Optimization (PSO) Algorithm
Abstract
In this paper, a variant of particle swarm optimization (PSO) algorithm using modified time varying acceleration coefficients (PSO-TVAC) has been proposed and applied in creation of new test cases for modified code in regression testing. The performance of the proposed algorithm is compared with other existing PSO algorithms on five well known benchmark test functions. The experiments prove that the proposed algorithm has better performance. The test cases generated by the proposed PSO-TVAC algorithm have greater code coverage capability over the initial test cases.
Year
DOI
Venue
2013
10.1109/ITNG.2013.58
Information Technology: New Generations
Keywords
Field
DocType
particle swarm optimization,benchmark test function,proposed pso-tvac algorithm,new test case,proposed algorithm,greater code coverage capability,existing pso algorithm,modified code,test case generation,better performance,initial test case,test case,acceleration,benchmark testing,algorithm design and analysis,regression testing
Particle swarm optimization,Code coverage,Mathematical optimization,Particle swarm optimization pso algorithm,Computer science,Algorithm,Multi-swarm optimization,Regression testing,Test case,Acceleration,Benchmark (computing)
Conference
ISBN
Citations 
PageRank 
978-0-7695-4967-5
3
0.43
References 
Authors
12
3
Name
Order
Citations
PageRank
Shailesh Tiwari1146.95
K. K. Mishra2407.98
Arun K. Misra313813.16