Title:
Model Transformation Patterns for Introducing Suitable Information Systems
Author(s):
Haruhiko Kaiya, Shunsuke Morita, Shinpei Ogata, Kenji Kaijiri, Shinpei Hayashi,
and Motoshi Saeki.
Source:
In Proceedings of 19th Asia-Pacific Software Engineering Conference
(APSEC 2012), pp. 434-439, Hong Kong, 4-7 Dec. 2012.
Abstract:
When information systems are introduced in a social setting such as a business,
the systems will give bad and good impacts on stakeholders in the setting.
Requirements analysts have to predict such impacts in advance because
stakeholders cannot decide whether the systems are really suitable for them
without such prediction.
In this paper, we propose a method based on model transformation patterns for
introducing suitable information systems.
We use metrics of a model to predict whether a system introduction is suitable
for a social setting.
Through a case study, we show our method can avoid an introduction of a system,
which was actually bad for some stakeholders.
In the case study, we use a strategic dependency model in i* to specify the
model of systems and stakeholders, and attributed graph grammar for model
transformation.
We focus on the responsibility and the satisfaction of stakeholders as the
criteria for suitability about systems introduction in this case study.
Related Paper(s):
Jun. 2012
