Executable platform independent models for data intensive applications

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Abstract

In this paper we investigate the capabilities and shortcomings of UML 2 in the field of executable modelling, with special focus on database applications. As envisioned in the MDA initiative, this sets the challenges like achieving platform-independence of the base model, complete specification of behaviour in an adequate way and making the model an unambiguous and suitable input for model compilers. Additionally, we need to provide sufficiently powerful and abstract means of creating expressions over data, so that our platform-independent language is not inferior in that matter compared to database query languages known from DBMSs. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Falda, G., Habela, P., Kaczmarski, K., Stencel, K., & Subieta, K. (2008). Executable platform independent models for data intensive applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5103 LNCS, pp. 301–310). https://doi.org/10.1007/978-3-540-69389-5_35

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