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Visualizing Early Aspects with Use Case Maps

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Transactions on Aspect-Oriented Software Development III

Part of the book series: Lecture Notes in Computer Science ((TAOSD,volume 4620))

Abstract

Once aspects have been identified during requirements engineering activities, the behavior, structure, and pointcut expressions of aspects need to be modeled unobtrusively at the requirements level, allowing the engineer to seamlessly focus either on the behavior and structure of the system without aspects or the combined behavior and structure. Furthermore, the modeling techniques for aspects should be the same as for the base system, ensuring that the engineer continues to work with familiar models. This paper describes how, with the help of Use Case Maps (UCMs), scenario-based aspects can be modeled at the requirements level unobtrusively and with the same techniques as for non-aspectual systems. Use Case Maps are a visual scenario notation under standardization by the International Telecommunication Union. With Use Case Maps, aspects as well as pointcut expressions are modeled in a visual way which is generally considered the preferred choice for models of a high level of abstraction.

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Author information

Authors and Affiliations

  1. SITE, University of Ottawa, 800 King Edward, Ottawa, ON, K1N 6N5, Canada

    Gunter Mussbacher & Daniel Amyot

  2. School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada

    Michael Weiss

Authors
  1. Gunter Mussbacher
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  2. Daniel Amyot
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  3. Michael Weiss
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Awais Rashid Mehmet Aksit

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© 2007 Springer-Verlag Berlin Heidelberg

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Mussbacher, G., Amyot, D., Weiss, M. (2007). Visualizing Early Aspects with Use Case Maps. In: Rashid, A., Aksit, M. (eds) Transactions on Aspect-Oriented Software Development III. Lecture Notes in Computer Science, vol 4620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75162-5_5

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  • DOI: https://doi.org/10.1007/978-3-540-75162-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75161-8

  • Online ISBN: 978-3-540-75162-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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