DocumentCode
3103003
Title
Search based techniques and mutation analysis in automatic test case generation: A survey
Author
Dave, Meenu ; Agrawal, Rashmi
Author_Institution
Dept. of Comput. Sci., Jagan Nath Univ., Jaipur, India
fYear
2015
fDate
12-13 June 2015
Firstpage
795
Lastpage
799
Abstract
Mutation testing is an effective adequacy criteria and has been researched upon a lot in the past decades, but lacks practical application due to its high cost. Mutation testing for test data generation has not been studied much. This paper is an up-to-date review of the technologies that have been applied with mutation testing for automatic generation of test data which is optimized regarding time, cost and code coverage. The survey reveals an increase in interest regarding the meta-heuristic techniques along with mutation testing.
Keywords
evolutionary computation; program testing; search problems; automatic test case generation; code coverage; meta-heuristic techniques; mutation analysis; mutation testing; search based techniques; test data generation; Evolutionary computation; Reliability; Software; Software algorithms; Software engineering; Testing; Based Software Engineering; Evolutionary algorithms; mutation score; test case generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location
Banglore
Print_ISBN
978-1-4799-8046-8
Type
conf
DOI
10.1109/IADCC.2015.7154816
Filename
7154816
Link To Document