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All Journal International Journal of Electrical and Computer Engineering Jambura Journal of Informatics
Bayu Hendradjaya
Institut Teknologi Bandung
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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Coevolution of Second-order-mutant Mohamad Syafri Tuloli; Benhard Sitohang; Bayu Hendradjaya
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.142 KB) | DOI: 10.11591/ijece.v8i5.pp3238-3249

Abstract

One of the obstacles that hinder the usage of mutation testing is its impracticality, two main contributors of this are a large number of mutants and a large number of test cases involves in the process. Researcher usually tries to address this problem by optimizing the mutants and the test case separately. In this research, we try to tackle both of optimizing mutant and optimizing test-case simultaneously using a coevolution optimization method. The coevolution optimization method is chosen for the mutation testing problem because the method works by optimizing multiple collections (population) of a solution. This research found that coevolution is better suited for multi-problem optimization than other single population methods (i.e. Genetic Algorithm), we also propose new indicator to determine the optimal coevolution cycle. The experiment is done to the artificial case, laboratory, and also a real case.
Co-Authors Benhard Sitohang Mohamad Syafri Tuloli mohammad syafri tuloli