Model Transformation Patterns for Introducing Suitable Information Systems

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.