Domain Model Definition for Domain-Specific Rule Generation Using Variability Model

Mani, N. and Helfert, M. and Pahl, C. and Nimmagadda, S.L. and Vasant, P. (2018) Domain Model Definition for Domain-Specific Rule Generation Using Variability Model. EAI/Springer Innovations in Communication and Computing. pp. 39-55. ISSN 25228595

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Abstract

The business environment is rapidly undergoing changes, and they need a prompt adaptation to the enterprise business systems. The process models have abstract behaviours that can apply to diverse conditions. For allowing to reuse a single-process model, the configuration and customization features can support the design improvisation. However, most of the process models are rigid and hard coded. The current proposal for automatic code generation is not devised to cope with rapid integration of the changes in business coordination. Domain-specific rules (DSRs) constitute to be the key element for domain-specific enterprise application, allowing changes in configuration and managing the domain constraint within the domain. In this paper, the key contribution is conceptualization of the domain model, domain model language definition and specification of domain model syntax as a source visual modelling language to translate into domain-specific code. It is an input or source for generating the target language which is domain-specific rule language (DSRL). It can be applied to adapt to a process constraint configuration to fulfil the domain-specific needs. © 2018, Springer International Publishing AG.

Item Type: Article
Additional Information: cited By 0
Uncontrolled Keywords: Codes (symbols); Modeling languages; Visual languages, Automatic code generations; Business environments; Domain modeling languages; Domain-specific codes; Enterprise applications; Enterprise business systems; Process constraints; Variability model, Automatic programming
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:37
Last Modified: 09 Nov 2023 16:37
URI: https://khub.utp.edu.my/scholars/id/eprint/10610

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