A Set of Practices for the Development of Data-Centric Information Systems

Abstract

We present a set of practices for the development of data-centric information systems (IS’s). The practices are about the architectural envisioning of systems and model-driven analysis of their certain subsystems. The goal of the architectural envisioning is to quickly achieve a suitable (in terms of well-established patterns) decomposition of the system into relatively autonomous subsystems to facilitate better understanding of it as well as support its design, implementation, maintenance, and future evolution. The goal of the model-driven analysis is to treat models as first-class citizens to facilitate better understanding of the system as well as the automation of its development. The practices can be used in the context of different development methodologies.