Model-driven Software Migration into a Service-oriented Architecture

Andreas Fuhr

ISBN 10: 3639426363 / ISBN 13: 9783639426366

Published by AV Akademikerverlag Jul 2012, 2012

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This bachelor thesis analyzes IBM's Service-Oriented Modeling and Architecture (SOMA) method - a method to design and implement Service-oriented Architectures (SOAs). SOMA identifies and designs services and components to implement a SOA. In addition, SOMA provides extension points to add the ability to analyse and reuse legacy systems. This thesis proposes the use of model-driven reverse engineering techniques and model-driven transformation of legacy code into components in order to extend the SOMA method by techniques for reusing legacy systems. The extensions are specified and the extended method is applied to a small case study. Evaluating the extensions showed great capability to enhance SOMA for handling legacy systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch.

Seller Inventory # 9783639426366

Bibliographic Details

• Title: Model-driven Software Migration into a Service-oriented Architecture
• Publisher: AV Akademikerverlag Jul 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 3639426363
• ISBN 13: 9783639426366
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 250 grams

About this title

Synopsis

This bachelor thesis analyzes IBM's Service-Oriented Modeling and Architecture (SOMA) method - a method to design and implement Service-oriented Architectures (SOAs). SOMA identifies and designs services and components to implement a SOA. In addition, SOMA provides extension points to add the ability to analyse and reuse legacy systems. This thesis proposes the use of model-driven reverse engineering techniques and model-driven transformation of legacy code into components in order to extend the SOMA method by techniques for reusing legacy systems. The extensions are specified and the extended method is applied to a small case study. Evaluating the extensions showed great capability to enhance SOMA for handling legacy systems.

About the Author

Andreas Fuhr studied computer science (B.Sc. and M.Sc.) at the Universities of Mainz and Koblenz. Since 2011, he is working as scientific staff member and PhD student at the Institute for Software Technology at the University of Koblenz-Landau. His main research interests are software engineering, model-driven software development and data mining.