Model-Driven Engineering for the Social Enterprise

Abstract

Model-driven engineering has gained popularity in recent years offering a way to abstractly specify complex computational models and algorithms and generate both configurations and code to achieve their realisation. Often domain-specific languages are used as way to express these model structures enabling end users to better specify their target system needs. We have been applying MDE and Domain-Specific Visual Languages (DSVLs) to the domain of big data analytics systems to better support end users in realising solutions for the enterprise as well as individual needs. In this talk I discuss key requirements of big data social enterprise systems, including those for health, transport and finance domains. I discuss approaches to utilising MDE and DSVLs to achieve desired solutions, including interface and architectures. I report on our and others progress to date and outline ways increasing personal and social data from the emerging Internet of Things with further transform this space.