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Model-Driven Development of Distributed Systems
Despite advances in standard middleware platforms, it is hard to develop software for distributed systems,
such as airplanes, power grids, and patient monitors. For example, developers still use ad hoc means to
develop, configure, and deploy applications and middleware, due to the lack of analyzable and verifiable
building block components. Model-Driven Development (MDD) has emerged as a promising means to address
these issues by combining domain-specific modeling languages (DSMLs) with generators that analyze certain aspects of
models and then synthesize various artifacts, such as source code, simulation inputs, XML deployment descriptions,
or alternative model representations. This tutorial provides an overview over MDD for distributed systems, focusing on
Fundamental concepts of MDD, How MDD tools and metamodeling typically work , The role of code generation and model-to-model
transformation, Frameworks and DSMLs, which are two sides of the same coin, How MDD can be used to improve and manage software architecture,
Applying MDD to component-based distributed systems and Deploying and configuring middleware and applications using MDD.
Many of the topics mentioned above will be introduced using examples and case studies from production distributed systems.
Wherever possible, we'll show live demos of using MDD tools in the tutorial.
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