process and this caused a reduction in the cost of
poor quality of 10% annually.
Figure 10: Change agent evaluation in July of 2004.
6 CONCLUSIONS
EASE is a model that quantifies the readiness of an
organization to commit to a software process
improvement initiative. EASE was developed as part
of the ABB software process improvement initiative.
Although EASE has been developed specifically for
assessing the readiness of an organization to
seriously engage in a software process improvement
activity, EASE can also be utilized in any other
organizational change situation, such as introduction
of a new technology, change in organizational
structure, change in customer base, introduction of a
new product or service, etc. EASE considers four
essential elements in the change situation (SPI
implementation) and they include the sponsor
readiness and commitment, change agent readiness
and commitment, organizational readiness, and
organizational level of expertise in SPI and the
specific model utilized for SPI. The sponsor plays an
essential role in exemplifying the new behaviour
(walk-the-talk), providing necessary resources,
aligning the SPI activity with business goals,
providing incentives for the new behaviour,
rewarding process improvement, and in general
being a proactive supporter of the SPI initiative. The
change agent is a multi-disciplinary person that
needs to master both the technical and organizational
aspects of the SPI initiative, must be highly
respected in the organization, must have excellent
communication skills, must communicate effectively
with the sponsor, and in general needs to have the
“fire” for the SPI initiative. The organization on the
other hand needs to have a relatively low level of
stress with other change initiatives, must have the
required level of training and skills for the SPI
initiative, needs to see tangible benefits originating
from the SPI initiative, and needs to be proactively
involved and committed to the SPI initiative. In the
future Fuzzy Logic will be used to evaluate the
elements and sub-elements in the EASE model.
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