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Using Architecture Models to Support the Generation and Operation of Component-Based Adaptive Systems

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Part of the Lecture Notes in Computer Science book series (LNPSE,volume 5525)

Abstract

Modelling architectural information is particularly important because of the acknowledged crucial role of software architecture in raising the level of abstraction during development. In the MDE area, the level of abstraction of models has frequently been related to low-level design concepts. However, model-driven techniques can be further exploited to model software artefacts that take into account the architecture of the system and its changes according to variations of the environment. In this paper, we propose model-driven techniques and dynamic variability as concepts useful for modelling the dynamic fluctuation of the environment and its impact on the architecture. Using the mappings from the models to implementation, generative techniques allow the (semi) automatic generation of artefacts making the process more efficient and promoting software reuse. The automatic generation of configurations and reconfigurations from models provides the basis for safer execution. The architectural perspective offered by the models shift focus away from implementation details to the whole view of the system and its runtime change promoting high-level analysis.

Keywords

  • software architecture
  • dynamic adaptation
  • model-driven engineering
  • middleware
  • dynamic variability

This work was partially funded by the Divergent Grid project, an ESPRC funded project and the DiVA project (EU FP7 STREP).

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Bencomo, N., Blair, G. (2009). Using Architecture Models to Support the Generation and Operation of Component-Based Adaptive Systems. In: Cheng, B.H.C., de Lemos, R., Giese, H., Inverardi, P., Magee, J. (eds) Software Engineering for Self-Adaptive Systems. Lecture Notes in Computer Science, vol 5525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02161-9_10

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  • DOI: https://doi.org/10.1007/978-3-642-02161-9_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02160-2

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