DocumentCode
729492
Title
Test suite reduction for mutation testing based on formal concept analysis
Author
Liping Li ; Honghao Gao
Author_Institution
Comput. & Inf. Eng. Inst., Shanghai Second Polytech. Univ., Shanghai, China
fYear
2015
fDate
1-3 June 2015
Firstpage
1
Lastpage
5
Abstract
Formal concept analysis (FCA) is a method used for deriving implicit relationships between objects by attributes. Aim at the expensive cost problem in mutation testing caused by the large number of mutants and large number of test cases generated to kill these mutants. This paper proposed a test suite reduce method for mutation testing based on FCA. In order to reduce the number of test cases, a test generation algorithm and three reduction rules were presented to reduce the set of test suite based on concept lattice. Results showed this approach can help to reduce the redundancy of test cases for mutation testing.
Keywords
formal concept analysis; program testing; FCA; concept lattice; formal concept analysis; mutation testing; test generation algorithm; test suite reduction; Algorithm design and analysis; Context; Formal concept analysis; Heuristic algorithms; Lattices; Minimization; Testing; concept lattice; mutation testing; test generation; test suite reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015 16th IEEE/ACIS International Conference on
Conference_Location
Takamatsu
Type
conf
DOI
10.1109/SNPD.2015.7176239
Filename
7176239
Link To Document