A lean and mean strategy: A data migration industrial study
Journal of software: Evolution and Process, ISSN: 2047-7481, Vol: 26, Issue: 2, Page: 141-171
2014
- 5Citations
- 26Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
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. This paper introduces the notion of the lean and mean migration strategy, and applies and evaluate it in two large industrial case studies in the field of data migration. The use of the lean and mean strategy in our case studies reveals the benefits of this strategy for efficiency demands. © 2013 John Wiley & Sons, Ltd.
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