Título: Research of the Defect Model Based on Similarity and Association Rule
Autores: Han, Wanjiang; Beijing University of Posts and Telecommunication
Jiang, Lixin; Beijing University of Posts and Telecommunication
Zhang, Xiaoyan; Beijing University of Posts and Telecommunication
Lu, Tianbo; Beijing University of Posts and Telecommunication
Yi, Sun; Beijing University of Posts and Telecommunication
Yan, Li; Beijing University of Posts and Telecommunication
Li, Weijian; Beijing University of Post and Telecommunication
Fecha: 2013-12-29
Publicador: TELKOMNIKA: Indonesian journal of electrical engineering
Fuente:
Tipo: info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Tema: No aplica
Descripción: In order to detect defects efficiently and improve the quality of products, this paper puts forward the concept about defect classification model and defect association model by a lot of defect data. The technology of similarity is applied to defect classification model, and the idea of Knowledge Discovery in Database is applied to defect association model. Defect classification model can analyze the defect efficiently and provides the basis of solving problems quickly while defect association model can be used to detect early and prevent problem, which can make effective improvements to testing and development. This paper summed up GUI defect model based on a large number of interface defects. The model is useful to improve the accuracy of forecast and be used for test planning and implementation through the practice of several projects.
Idioma: No aplica