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International Conference on Model Driven Engineering Languages and Systems

MODELS 2008: Model Driven Engineering Languages and Systems pp 490–504Cite as

Integrating Performance Analysis in the Model Driven Development of Software Product Lines

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5301))

Abstract

The paper proposes to integrate performance analysis in the early phases of the model-driven development process for Software Product Lines (SPL). We start by adding generic performance annotations to the UML model representing the set of core reusable SPL assets. The annotations are generic and use the MARTE Profile recently adopted by OMG. A first model transformation realized in the Atlas Transformation Language (ATL), which is the focus of this paper, derives the UML model of a specific product with concrete MARTE performance annotations from the SPL model. A second transformation generates a Layered Queueing Network performance model for the given product by applying an existing transformation approach named PUMA, developed in previous work. The proposed technique is illustrated with an e-commerce case study that models the commonality and variability in both structural and behavioural SPL views. A product is derived and the performance of two design alternatives is compared.

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References

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Author information

Authors and Affiliations

  1. School of Computer Science, Carleton University, Ottawa, Canada

    Rasha Tawhid

  2. Dept. of Systems and Computer Engineering, Carleton University, Ottawa, Canada

    Dorina Petriu

Authors
  1. Rasha Tawhid
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  2. Dorina Petriu
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Editor information

Krzysztof Czarnecki Ileana Ober Jean-Michel Bruel Axel Uhl Markus Völter

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© 2008 Springer-Verlag Berlin Heidelberg

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Tawhid, R., Petriu, D. (2008). Integrating Performance Analysis in the Model Driven Development of Software Product Lines. In: Czarnecki, K., Ober, I., Bruel, JM., Uhl, A., Völter, M. (eds) Model Driven Engineering Languages and Systems. MODELS 2008. Lecture Notes in Computer Science, vol 5301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87875-9_35

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  • DOI: https://doi.org/10.1007/978-3-540-87875-9_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87874-2

  • Online ISBN: 978-3-540-87875-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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