DocumentCode
2165561
Title
Literature survey of Ant Colony Optimization in software testing
Author
Suri, Bharti ; Singhal, Shweta
fYear
2012
fDate
5-7 Sept. 2012
Firstpage
1
Lastpage
7
Abstract
Ant Colony Optimization (ACO) is a well known and rapidly evolving meta-heuristic technique. A large number of optimization problems have already taken advantage of the ACO technique while countless others are on their way. A copious amount of effort has also been put in by the researchers for applying ACO in solving various software testing problems. This paper presents a survey of twenty-one such studies, identified as relating to the use of ACO in diverse software testing concepts. To the best of our knowledge, no literature survey could be found published in the same context till date. Consequently, the twenty one studies have been rigorously analyzed to find some common parameters which can be grouped together or compared in order to provide a useful insight into the field.
Keywords
ant colony optimisation; program testing; ACO technique; ant colony optimization; literature survey; meta-heuristic technique; software testing problems; Data models; Flow graphs; Optimization; Software; Software testing; Unified modeling language;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (CONSEG), 2012 CSI Sixth International Conference on
Conference_Location
Indore
Print_ISBN
978-1-4673-2174-7
Type
conf
DOI
10.1109/CONSEG.2012.6349501
Filename
6349501
Link To Document