View-based model-driven architecture for enhancing maintainability of data access services

  • Authors:

  • Christine Mayr;Uwe Zdun;Schahram Dustdar

  • Affiliations:

  • Distributed Systems Group, Information Systems Institute, Vienna University of Technology, Austria;Faculty of Computer Science, Research Group Software Architecture, University of Vienna, Austria;Distributed Systems Group, Information Systems Institute, Vienna University of Technology, Austria

  • Venue:
  • Data & Knowledge Engineering
  • Year:
  • 2011

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Abstract

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.