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Type: Conference paper
Title: A framework for architecture-driven migration of legacy systems to cloud-enabled software
Author: Ahmad, A.
Babar, M.
Citation: Proceeding of the 11th Working IEEE/IFIP Conference on Software Architecture Companion, 2014, pp.7-1-7-8
Publisher: ACM
Issue Date: 2014
Series/Report no.: ACM International Conference Proceeding Series
ISBN: 9781450325233
Conference Name: 11th Working IEEE/IFIP Conference on Software Architecture Companion (WICSA '14) (7 Apr 2014 - 11 Apr 2014 : Sydney, Australia)
Statement of
Aakash Ahmad, Muhammad Ali Babar
Abstract: With the widespread adoption of cloud computing, an increasing number of organizations view it as an important business strategy to evolve their legacy applications to cloud-enabled infrastructures. We present a framework, named Legacy-to-Cloud Migration Horseshoe, for supporting the migration of legacy systems to cloud computing. The framework leverages the software reengineering concepts that aim to recover the architecture from legacy source code. Then the framework exploits the software evolution concepts to support architecture-driven migration of legacy systems to cloud-based architectures. The Legacy-to-Cloud Migration Horseshoe comprises of four processes: (i) architecture migration planning, (ii) architecture recovery and consistency, (iii) architecture transformation and (iv) architecture-based development of cloud-enabled software. We aim to discover, document and apply the migration process patterns that enhance the reusability of migration processes. We also discuss the required tool support that we intend to provide through our ongoing work in this area.
Keywords: Reverse engineering and evolution, cloud computing, service-driven architecture, architecture-centric software migration
Description: This is the companion volume of the Proceeding of the Eleventh Working IEEE/IFIP Conference on Software Architecture (WICSA 2014)
Rights: Copyright 2010 ACM. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from
DOI: 10.1145/2578128.2578232
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Computer Science publications

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