Anzeige
Erschienen in:
2010 | OriginalPaper | Buchkapitel
Scaling Up Model Driven Engineering – Experience and Lessons Learnt
verfasst von : Vinay Kulkarni, Sreedhar Reddy, Asha Rajbhoj
Erschienen in: Model Driven Engineering Languages and Systems
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Model driven engineering (MDE) aims to shift the focus of software development from coding to modeling. Models being at a higher level of abstraction are easy to understand and analyze for desired properties, leading to better control over software development life cycle. Models are also used to automate generation of implementation artefacts resulting in greater productivity and uniform quality. The focus of the MDE community is largely on exploring modeling languages and model transformation techniques. Not much attention is paid to the issues of scale. Large business applications are typically developed over multiple geographical locations and have a lifecycle running into decades. This puts several additional demands on MDE infrastructure – multi-user multi-site model repository, versioning and configuration management support, change-driven incremental processes etc. We describe our MDE infrastructure, experience of using it to deliver several large business applications over past 15 years, and the lessons learnt.