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Título: |
Study of automatically generate test data based on evolutionary algorithm method |
Autores: |
yunlong, Zhag; Hebei University of Engineering, School of Information & Electronic Engineering,Handan,Hebei,China Jian, Ni; Hebei University of Engineering, School of Information & Electronic Engineering,Handan,Hebei,China |
Fecha: |
2013-07-22 |
Publicador: |
TELKOMNIKA: Indonesian journal of electrical engineering |
Fuente: |
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Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
Tema: |
Computer Engineering automatic test data generation;evolution algorithm; fitness function;structural test |
Descripción: |
The study of automatically generate test data based on evolutionary algorithm method focuses on the path coverage direction. The key problem is how to construct a suitable and has a good orientation of the fitness function to evaluate the quality of a test data. This paper introduces several evolution test methods, shows its advantages and problems it can effectively solve, and proposes an improved evolutionary test data generation method, which can generate better test data. |
Idioma: |
Inglés |