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A bridge role metric model for nodes in software networks.
Li, Bo; Feng, Yanli; Ge, Shiyu; Li, Dashe.
Afiliación
  • Li B; Key Laboratory of Intelligent Information Processing, Shan Dong Institute of Business and Technology, YanTai, Shandong, China; Department of Computer Foundation Studies, Shan Dong Institute of Business and Technology, YanTai, Shandong, China.
  • Feng Y; Key Laboratory of Intelligent Information Processing, Shan Dong Institute of Business and Technology, YanTai, Shandong, China; Department of Computer Foundation Studies, Shan Dong Institute of Business and Technology, YanTai, Shandong, China.
  • Ge S; Department of Computer Foundation Studies, Shan Dong Institute of Business and Technology, YanTai, Shandong, China.
  • Li D; Key Laboratory of Intelligent Information Processing, Shan Dong Institute of Business and Technology, YanTai, Shandong, China.
PLoS One ; 9(11): e111613, 2014.
Article en En | MEDLINE | ID: mdl-25364938
ABSTRACT
A bridge role metric model is put forward in this paper. Compared with previous metric models, our solution of a large-scale object-oriented software system as a complex network is inherently more realistic. To acquire nodes and links in an undirected network, a new model that presents the crucial connectivity of a module or the hub instead of only centrality as in previous metric models is presented. Two previous metric models are described for comparison. In addition, it is obvious that the fitting curve between the Bre results and degrees can well be fitted by a power law. The model represents many realistic characteristics of actual software structures, and a hydropower simulation system is taken as an example. This paper makes additional contributions to an accurate understanding of module design of software systems and is expected to be beneficial to software engineering practices.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article País de afiliación: China