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 :
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