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An aspect-oriented generative approach

Published:23 October 2004Publication History

ABSTRACT

The integration of generative and aspect-oriented techniques is not a trivial task. This paper describes our experience in the definition of an aspect-oriented generative approach for the context of multi-agent systems. Our generative approach is composed of: (i) a domain-specific language called Agent-DSL, which allows to model crosscutting and non-crosscuting agent features; (ii) an aspect-oriented architecture that models a family of software agents; and (iii) a code generator that maps abstractions of the Agent-DSL to specific compositions of objects and aspects in specific implementations of agent architectures. The use of aspect-oriented techniques in the definition of our generative approach brought benefits to the modeling and code generation of crosscutting features since early design stages.

References

  1. K. Czarnecki and U. Eisenecker. Generative Programming: Methods, Tools, and Applications, Addison-Wesley, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. G. Kiczales, et al. "Aspect-Oriented Programming". Proc. of ECOOP'97, LNCS 1241, Springer-Verlag, Finland, June 1997.Google ScholarGoogle Scholar
  3. U. Kulesza, A. Garcia, C. Lucena. "Generating Aspect-Oriented Agent Architectures". Proceedings of the 3rd Workshop on Early Aspects, AOSD'2004, March 2004, Lancaster, UK.Google ScholarGoogle Scholar
  4. U. Kulesza, A. Garcia, C. Lucena, A. von Staa. "Integrating Generative and Aspect-Oriented Technologies". Proceedings of the Brazilian Symposium on Software Engineering (SBES'2004), Brasilia, Brazil, October, 2004.Google ScholarGoogle Scholar

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  1. An aspect-oriented generative approach

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              cover image ACM Conferences
              OOPSLA '04: Companion to the 19th annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
              October 2004
              348 pages
              ISBN:1581138334
              DOI:10.1145/1028664

              Copyright © 2004 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 23 October 2004

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