| dc.description.abstract | Modernization and migration initiatives are not
limited to projects where complex legacy systems need to be
phased-out. They include wider contexts, from the
replacement of obsolete middle tiers, to the migration of
algorithms
from
prototype-purpose
platforms
to
commercial platforms. As the need of modernization
continues to increase, we need to understand better what are
the challenges to be addressed in relation to modern
practices and processes. Aspects such as: decision-making
on the migration of components/sub-systems, management
of operations during the phase-out stages, critical knowledge
and business logic transfer, they all impose demands on the
development cycle and the way in which projects are
planned and carried out. This paper presents a synopsis of
challenges encountered during several modernization and
mi
gration initiatives within different industrial domains,
across organizations spanning diverse countries. Some key
lessons learned were: (1) work planning needs to be
adjusted to handle better information uncertainty, (2)
estimation practices need to be fine- tuned, e.g., by explicitly
allocating information foraging activities prior estimation
activities, (3) documentation and traceability cannot be
neglected, (4) the phenomenon of ‘role creep’ should be
avoided, and finally (5) clear processes need to be in place
for the procurement of appropriate test data, and for
enabling test automation. | language |
