A lean and mean strategy: a data migration industrial study
Version of Record online: 12 SEP 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Journal of Software: Evolution and Process
Volume 26, Issue 2, pages 141–171, February 2014
How to Cite
Razavian, M. and Lago, P. (2014), A lean and mean strategy: a data migration industrial study. J. Softw. Evol. and Proc., 26: 141–171. doi: 10.1002/smr.1613
- Issue online: 24 JAN 2014
- Version of Record online: 12 SEP 2013
- Manuscript Accepted: 24 JUN 2013
- Manuscript Revised: 9 APR 2013
- Manuscript Received: 9 OCT 2012
- Dutch Joint Academic and Commercial Quality Research and Development (Jacquard). Grant Number: 638.001.206
- legacy migration;
- migration strategies;
- technical action research
Many companies have legacy assets to be integrated or modernized. Like today's software developments, migration projects are faced with steadily increasing demands for efficiency: migration has to be carried out faster, better, and cheaper. At the same time, migration complexity increases, and migration projects remain challenging despite the companies' extensive experience.
To cope with such efficiency demands, companies need a well-defined migration strategy. In previous work, we have defined such a migration strategy called lean and mean strategy. In this paper, following technical action research, we apply our migration strategy, and evaluate it, in two large industrial case studies in the field of data migration. The use of the strategy in our case studies reveals the benefits of lean and mean strategy for meeting the efficiency demands. Copyright © 2013 John Wiley & Sons, Ltd.