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Clustering-Based Support for Software Architecture Restructuring [Paperback]

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  • Category: Books (Computers)
  • Author:  Streekmann, Niels
  • Author:  Streekmann, Niels
  • ISBN-10:  3834819530
  • ISBN-10:  3834819530
  • ISBN-13:  9783834819536
  • ISBN-13:  9783834819536
  • Publisher:  Vieweg+Teubner Verlag
  • Publisher:  Vieweg+Teubner Verlag
  • Pages:  264
  • Pages:  264
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2011
  • Pub Date:  01-Feb-2011
  • SKU:  3834819530-11-SPRI
  • SKU:  3834819530-11-SPRI
  • Item ID: 100465492
  • List Price: $54.99
  • Seller: ShopSpell
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The maintenance of long-living software systems is an essential topic in todays 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.

Software Architecture - Software Evolution and Modernisation - Graph Clustering - Model-Driven Software Development - MARE Approach - MARE Method - MARE Clustering

Dr. Niels Streekmann completed his doctoral thesis under the supervision of Prof. Dr. Wilhelm Hasselbring at the Department of Software Engineering at the Christian Albrechts University, Kiel. He works as a consultant and software architect.

The maintenance of long-living software systems is an essential topic in todays software engineering practice and research. Software Architecture Restructuring is an important task to adjust these systems to current requirements and to keep them maintainable.

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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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The maintenance of long-living software systems is an essentilÅ

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