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Astract: The evaluation of an organization's performance may also consider the assessment of inter-organizational relationships (IORs). However, the evaluation of IORs is typically based on success factors, such as trust, which are difficult to be measured quantitatively. In this paper, we present a framework supporting inter-organizational performance evaluation which integrates (i) a bottom-up approach supporting the identification of Key Performance Indicators (KPIs) from business information, event logs, as well as process models, and (ii) a top-down approach for measuring business performance on the strategic level based on the Balanced Scorecard (BSC) method. In order to prove the feasibility of the framework, we present an inter-organizational performance analysis case study of a beverage manufacturing company. The case study shows that the framework enables (i) the derivation of quantifiable KPIs from operational data and (ii) the alignment of KPIs with business objectives allowing an evaluation of IORs on the strategic level.

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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.

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Astract: Enterprise Resource Planning (ERP) systems are nowadays adapted to the company-specific requirements by customization. Whereas smaller and general feature changes are performed quickly by parameterization, changes of a company's business activities may lead to enormous changes in the system's code. To overcome this problem, we introduce an approach of a flexible ERP system which can be adapted by specific business models for each individual company/tenant by using model engineering techniques. Our approach REAlist is built on top of a generic data structure based on the Resource Event Agent (REA) business modeling ontology and provided as a cloud based service. Business models for each company are described by a domain specific language called the REA-DSL. REAlist enables companies to incorporate business activity changes quickly and without extensive code changes.