Clustering-Based Support for Software Architecture Restructuring [recurso electrónico] / by Niels Streekmann.

Por: Streekmann, Niels [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: Texto

TextoEditor: Wiesbaden : Vieweg+Teubner Verlag, 2011Descripción: XIX, 241p. 60 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783834886750Tema(s): Computer science | Software engineering | Computer Science | Software Engineering/Programming and Operating SystemsFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 005.1 Clasificación LoC:QA76.758Recursos en línea: Libro electrónico Texto

En: Springer eBooksResumen: The maintenance of long-living software systems is an essential topic in today’s software engineering practice and research. Software Architecture Restructuring is an important task to adjust these systems to current requirements and to keep them maintainable. Niels Streekmann introduces an approach to Software Architecture Restructuring that semi-automates this task by introducing graph clustering. The approach provides an iterative process that systematically incorporates human architectural knowledge for the improvement of the restructuring result. Thus, it supports the task of planning the transfer of an existing system to a target architecture and aims at reducing the required manual effort.

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Tipo de ítem	Biblioteca actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos	QA76.758 (Browse shelf(Abre debajo))	1	No para préstamo		377086-2001

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The maintenance of long-living software systems is an essential topic in today’s software engineering practice and research. Software Architecture Restructuring is an important task to adjust these systems to current requirements and to keep them maintainable. Niels Streekmann introduces an approach to Software Architecture Restructuring that semi-automates this task by introducing graph clustering. The approach provides an iterative process that systematically incorporates human architectural knowledge for the improvement of the restructuring result. Thus, it supports the task of planning the transfer of an existing system to a target architecture and aims at reducing the required manual effort.