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Astract: Today, modeling and programming constitute separate activities carried out using modeling respectively programming languages, which are neither well integrated with each other nor have a one-to-one correspondence. As a consequence, platform and implementation details, such as the usage of existing software components and libraries, are usually introduced on code level only. This impedes accurate model-level analyses that take platform-specific decisions into account as well as the direct deployment of executable models on the target platform. In this work we present an approach for integrating existing software libraries with fUML models-an executable variant of UML models for which a standardized virtual machine exists-not only at design time but also at runtime. As a result of that, the modeler is empowered with the capabilities provided by existing software libraries on model level. Our approach is evaluated based on unit tests and initial case studies available in the ReMoDD repository that assess the correctness, performance, and completeness of our implementation.

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Astract: The capability of UML profiles to serve as annotation mechanism has been recognized in both industry and research. Today's modeling tools offer profiles specific to platforms, such as Java, as they facilitate model-based engineering approaches. However, at the modeling level, the set of available profiles is considerably smaller compared to the number of existing Java libraries using annotations at the programming level. This is because an effective mapping between Java and UML to generate profiles from annotation-based libraries is missing. In this paper, we present JUMP to overcome this limitation, thereby continuing existing mapping efforts by emphasizing on annotations and profiles. We demonstrate the practical value of JUMP by contributing profiles that facilitate reverse-engineering and forward-engineering scenarios for the Java platform. The evaluation of JUMP shows that profiles can be automatically generated from Java libraries exhibiting equal or even improved quality compared to profiles currently used in practice.

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Astract: UML profiles support annotations at the modeling level. However, current modeling tools lack the capabilities to generate such annotations required for the programming level, which is desirable for reverse engineering and forward engineering scenarios. To overcome this shortcoming, we defined an effective conceptual mapping between Java annotations and UML profiles as a basis for implementing the JUMP tool. It automates the generation of profiles from annotation-based libraries and their application to generate profiled UML models. In this demonstration, we (i) compare our mapping with the different representational capabilities of current UML modeling tools, (ii) apply our tool to a model-based software modernization scenario, and (iii) evaluate its scalability with real-world libraries and applications.