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Clustering-Based Support for Software Architecture Restructuring
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.
Modeling and Analyzing Knowledge Intensive Business Processes with KMDL
"The proportion of value added of knowledge in companies has increased since the last years and in this context the meaning of knowledge flows within business processes has become more important. Numerous developed approaches aim at modeling knowledge intensive business processes in order to enable the analysis, evaluation and deduction of potentials for optimization of knowledge flows within these processes. This book presents the Knowledge Modeling and Description Language (KMDLʼ) as a modeling approach from a scientific-theoretical point of view as well as its practical applicability. Practitioners get a deeper comprehension of knowledge intensive business processes and a practical application orientation for the use of KMDLʼ within the company. Scientists and students get a summary about actual research efforts on knowledge intensive business processes, associated methods and cases of application."--Back cover.
Model-Based Software and Data Integration
Here are selected papers of the First International Workshop on Model-Based Software and Data Integration 2008, part of the Berlin Software Integration Week 2008. The 9 revised full papers and 3 invited lectures were carefully picked from numerous submissions.
Model-Driven Software Development: Integrating Quality Assurance
Covers important concepts, issues, trends, methodologies, and technologies in quality assurance for model-driven software development.
