TY - JOUR
T1 - A lean and mean strategy : a data migration industrial study
AU - Razavian, M.
AU - Lago, P.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - legacy migration, migration strategies, technical action research
U2 - 10.1002/smr.1613
DO - 10.1002/smr.1613
M3 - Article
SN - 2047-7481
VL - 26
SP - 141
EP - 171
JO - Journal of Software : Evolution and Process
JF - Journal of Software : Evolution and Process
IS - 2
ER -