Title
A variable strength interaction test suites generation strategy using Particle Swarm Optimization
Abstract
This paper highlights a novel strategy for generating variable-strength (VS) interaction test suites, called VS Particle Swarm Test Generator (VS-PSTG). As the name suggests, VS-PSTG adopts Particle Swarm Optimization to ensure optimal test size reduction. To determine its efficiency in terms of the size of the generated test suite, VS-PSTG was subjected to well-known benchmark configurations. Comparative results indicate that VS-PSTG gives competitive results as compared to existing strategies. An empirical case study was conducted on a non-trivial software system to show the applicability of the strategy and to determine the effectiveness of the generated test suites to detect faults.
Year
DOI
Venue
2011
10.1016/j.jss.2011.06.004
Journal of Systems and Software
Keywords
Field
DocType
artificial intelligence,particle swarm optimization,software testing,vs particle swarm test,suites generation strategy,variable strength interaction test,search-based software testing,non-trivial software system,comparative result,competitive result,variable-strength interaction,interaction test suite,test suite,optimal test size reduction,novel strategy,empirical case study,artificial intelligent,software systems,particle swarm
Particle swarm optimization,Test suite,Mathematical optimization,Simulation,Computer science,Test generator,Multi-swarm optimization,Software system,Real-time computing,Size reduction,Metaheuristic,Software testing
Journal
Volume
Issue
ISSN
84
12
The Journal of Systems & Software
Citations 
PageRank 
References 
26
0.94
48
Authors
2
Name
Order
Citations
PageRank
Bestoun S. Ahmed115918.86
Kamal Z. Zamli221620.50