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Machine Learning Approach in Mutation Testing
[chapter]
2012
Lecture Notes in Computer Science
This paper deals with an approach based on the similarity of mutants. This similarity is used to reduce the number of mutants to be executed. In order to calculate such a similarity among mutants their structure is used. Each mutant is converted into a hierarchical graph, which represents the program's flow, variables and conditions. On the basis of this graph form a special graph kernel is defined to calculate similarity among programs. It is then used to predict whether a given test would
doi:10.1007/978-3-642-34691-0_15
fatcat:vh5vujdczfe35hziwayxdho5gq