Abstract
Along with the boom of Web services and the thriving Model Driven Architecture (MDA), we must consider the growing significance and utility of modeling in the development of software and solutions. The main advantages of MDA are the ability to transform one PIM into several PSMs, one for each platform or technology in which the final system will be deployed, and the automatic code generation that implements the system for those platforms from the corresponding PSMs. Service-oriented architectures (SOA) are also touted as the key to business agility, especially when combined with a model-driven approach. Model-Driven Architecture (MDA) is a well-developed concept that fits well with SOA, but until now it has been a specialized technique that is beyond practical application scope of most enterprises.
In this paper, we describe the initial investigation in the fields of MDA and generative approaches to SOA. Our view is that MDA aims at providing a precise framework for generative software production. Unfortunately many notions are still loosely defined (PIM, PSM, etc.). We propose here an initial exploration of some basic artifacts of the MDA space to SOA. Because all these artifacts may be considered as assets for the organization where the MDA is being deployed with SOA, we are going to talk about MDA and SOA abstract components to apply an e-business application. We also discuss the key characteristics of the two modeling architectures, focusing on the classification of models that is embodied by each. The flow of modeling activity is discussed in the two architectures together with a discussion of the support for the modeling flows provided by MDA. Our model of framework – a unified modeling architecture – is introduced which illustrates how the two architectures can be brought together into a synergistic whole, each reinforcing the benefits of the other with case study.
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Kim, HK., Kim, TH. (2014). SOA Modeling Based on MDA. In: Omatu, S., Bersini, H., Corchado, J., Rodríguez, S., Pawlewski, P., Bucciarelli, E. (eds) Distributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-07593-8_23
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DOI: https://doi.org/10.1007/978-3-319-07593-8_23
Publisher Name: Springer, Cham
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