Reference : Speeding-Up Mutation Testing via Data Compression and State Infection
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/30965
Speeding-Up Mutation Testing via Data Compression and State Infection
English
Zhu, Qianqian [Delft University of Technology > EWI]
Panichella, Annibale mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Zaidman, Andy [Delft University of Technology > EWI]
13-Mar-2017
IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) 2017
IEEE
103-109
Yes
No
International
978-1-5090-6676-6
IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
from 13-03-2017 to 17-03-2017
Tokyo
Japan
[en] Mutation Testing ; Formal Concept Analysis
[en] Mutation testing is widely considered as a high-end test criterion due to the vast number of mutants it generates. Although many efforts have been made to reduce the computational cost of mutation testing, its scalability issue remains in practice. In this paper, we introduce a novel method to speed up mutation testing based on state infection information. In addition to filtering out uninfected test executions, we further select a subset of mutants and a subset of test cases to run leveraging data-compression techniques. In particular, we adopt Formal Concept Analysis (FCA) to group similar mutants together and then select test cases to cover these mutants. To evaluate our method, we conducted an experimental study on six open source Java projects. We used EvoSuite to automatically generate test cases and to collect mutation data. The initial results show that our method can reduce the execution time by 83.93% with only 0.257% loss in precision.
http://hdl.handle.net/10993/30965
10.1109/ICSTW.2017.25

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