IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

From Business Rules to Application Code: Code Generation Patterns for Rule Defined Associations

From Business Rules to Application Code: Code Generation Patterns for Rule Defined Associations
View Sample PDF
Author(s): Jens Dietrich (Massey University, New Zealand)
Copyright: 2009
Pages: 22
Source title: Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches
Source Author(s)/Editor(s): Adrian Giurca (Brandenburg Technology University at Cottbus, Germany), Dragan Gasevic (Athabasca University, Canada) and Kuldar Taveter (University of Melbourne, Australia)
DOI: 10.4018/978-1-60566-402-6.ch014

Purchase

View From Business Rules to Application Code: Code Generation Patterns for Rule Defined Associations on the publisher's website for pricing and purchasing information.

Abstract

Rules that define relationships between objects are an important part of the specifications of software systems. However, support for the explicit representation of those rules in modelling languages is still immature and there is little support to assist software engineers in implementing them. The result of this practice is hand-crafted and error-prone applications. In this chapter, we analyse some common patterns used to implement rules and discuss the shortcomings associated with those patterns. We then discuss several options to explicitly represent rules, and how to automate the generation of application code from rules.

Related Content

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A Angryk. © 2019. 19 pages.
Zhen Hua Liu. © 2019. 25 pages.
Lubna Irshad, Zongmin Ma, Li Yan. © 2019. 25 pages.
Hao Jiang, Ahmed Bouabdallah. © 2019. 22 pages.
Gbéboumé Crédo Charles Adjallah-Kondo, Zongmin Ma. © 2019. 22 pages.
Safa Brahmia, Zouhaier Brahmia, Fabio Grandi, Rafik Bouaziz. © 2019. 20 pages.
Zhangbing Hu, Li Yan. © 2019. 20 pages.
Body Bottom