This paper presents MUTation score prediction with fine-gRAINed mutation operators (MuTrain), a salient technique that reduces mutation testing cost for an evolving target program by learning a mutation model specific to the target program, which generates a small number of mutants whose testing results provide ...
Aug 8, 2021
Learning-based Mutant Reduction Using Fine-grained Mutation Operators ; Article #: ; Date of Conference: 04-14 April 2022 ; Date Added to IEEE Xplore: 08 June 2022.
We propose MUTation score prediction with fine-gRAINed mutation operators (MUTRAIN), a salient technique that re- duces mutation testing cost for an evolving ...
This is an extended abstract of the article: Yunho Kim and SHin Hong, Learning-based Mutant Reduction Using Fine-grained Mutation Operators, Journal of ...
This paper quantifies the expense of mutation in terms of the number of mutants that are created, then proposes and evaluates a technique that reduces the ...
Aug 8, 2021 · We also found that MuTrain achieves much greater mutant reduction when it uses the fine‐grained mutation operators than the traditional coarse‐ ...
ScholarWorks@Hanyang University: Learning-based Mutant Reduction Using Fine-grained Mutation Operators.
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Oct 5, 2023 · In this paper, we perform a fine-grained evaluation of DL mutation operators by introducing the classification results of DL models. ... Our ...
We propose a new mutation testing framework supporting a fine-grained evaluation of test power, called mutant-classification tuples which consist of mutants and ...
Both rankings are used in a selective mutation study analysing the trade-off between the reduction achieved and the effectiveness when using a subset of mutants ...