
doi: 10.1109/ms.2008.12
For decades, model-driven development has been the perfect example of software-engineering hype. Just as bees are attracted to honey, we software engineers look for ways of simplifying our work and automating endless change cycles. Today, after many years of experimenting with MDD, mostly in limited-size scientific environments, the three ingredients of methodology, notation, and tools seem to fit and support each other. Round-trip engineering might still be some years from day-to-day practice, but simple forward engineering with MDD is readily available to software practitioners now. And it works. In this issue's column, Axel Uhl, chief development architect in SAP's Office of the CTO, looks into MDD methodologies and tool support. He shares his many practical experiences to help you master the ramp-up for your own enterprise.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
