Automated Verbalization for ORM 2

Abstract

AbstractIn the analysis phase of information systems development, it is important to have the conceptual schema validated by the business domain expert, to ensure that the schema accurately models the relevant aspects of the business domain. An effective way to facilitate this validation is to verbalize the schema in language that is both unambiguous and easily understood by the domain expert, who may be non-technical. Such verbalization has long been a major aspect of the Object-Role Modeling (ORM) approach, and basic support for verbalization exists in some ORM tools. Second generation ORM (ORM 2) significantly extends the expressibility of ORM models (e.g. deontic modalities, role value constraints, etc.). This paper discusses the automated support for verbalization of ORM 2 models provided by NORMA (Neumont ORM Architect), an open-source software tool that facilitates entry, validation, and mapping of ORM 2 models. NORMA supports verbalization patterns that go well beyond previous verbalization work. The verbalization for individual elements in the core ORM model is generated using an XSLT transform applied to an XML file that succinctly identifies different verbalization patterns and describes how phrases are combined to produce a readable verbalization. This paper discusses the XML patterns used to describe ORM constraints and the tightly coupled facilities that enable end-users to easily adapt the verbalization phrases to cater for different domain experts and native languages.KeywordsUnify Modeling LanguageObject Constraint LanguageUniqueness ConstraintBusiness RuleAutomate SupportThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.