Скачать или смотреть Juha-Pekka Tolvanen "Measuring productivity from Domain Specific Modeling Languages"

Using models as the primary source when creating systems and software is claimed to improve productivity but this is often hard to justify in practice. It requires a lot of resources and time to do it in “academic” way by building the same system twice, having parallel teams, many developers and covering large numbers of development tasks. Still, companies and their teams need some data for decision making. We describe, based on cases from practice, how evaluation can be conducted in a practical way. This allows repeating evaluations internally and to judge if a particular model-based development approach is suitable for the company. Briefly, the evaluation is based on the same approach that is the basis for daily business: Inspect how much effort was needed to implement an application or feature that met customer requirements. We give examples of this by describing evaluations done in different kind of companies: developing consumer electronics, automation systems, and web-based enterprise applications for the cloud. The companies report 5-10x increase in productivity. Among the cases discussed the key success factors have been able to produce the code and other artefacts largely automatically from the models and the use of internally developed domain-specific modeling languages giving full control to their users.