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Toward an automatic management of aspectual connections to compose business rules

Casas, Sandra et al · SEDICI UNLP · 2011

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AOP/AOSD is a convenient approach to connect business rules to the domain without altering these components. However in complex applications such B2B and B2C systems, where rules play an important role it is necessary to manage these connections to really assist the developers. The automatic mechanisms are needful too, in order to ease business rules deployment, software maintenance and evolution. Then particular specifications of these operations must be improved. In this work we provide a semi-formal description of the aspectual connections and a set of operations to manage them. The point of view to connections and operations description that we use is taxonomy. Another subject that we outline is the description of particular AOP language. The goal is to provide a more concise notation that can serve as a guideline for the implementation of tools that automatically gather these and related operations. Presentado en el VIII Workshop Ingeniería de Software (WIS) Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Casas, S. E. A. (2011). Toward an automatic management of aspectual connections to compose business rules. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/18746

MLA

Casas, Sandra et al. Toward an automatic management of aspectual connections to compose business rules. SEDICI UNLP, 2011. http://sedici.unlp.edu.ar/handle/10915/18746.

Chicago

Casas, Sandra et al. 2011. Toward an automatic management of aspectual connections to compose business rules. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/18746.

Harvard

Casas, S. E. A. 2011, Toward an automatic management of aspectual connections to compose business rules, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/18746 [Accessed 7 Aug. 2026].

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Title
Toward an automatic management of aspectual connections to compose business rules
Author / contributors
Casas, Sandra et al
Publisher
SEDICI UNLP
Publication year
2011
Language
English

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