Abstract
Ontology-driven approaches are used to sustain the requirement engineering process. Ontologies can be used to define information and knowledge semantics during the requirements engineering phases, such as analysis, specification, validation and management of requirements. However, requirement analysts face difficulties in using ontologies for requirement engineering. In this study, a framework has been proposed to integrate heterogeneous requirements by using local and global ontologies.
Highlights
The success of software system can be quantified by the degree to which it meets the proposed envision
We discuss the problem that how heterogeneous requirements may be combined using local and global ontologies
The approach is based on general user requirement model that utilized three existing semi-formal languages: use cases of Unified Modeling Language (UML), MCT model of the MERISE method, and goal-oriented languages
Summary
The success of software system can be quantified by the degree to which it meets the proposed envision. In the early phases of software development process, RE emphasizes on elicitation analysis, specification, validation, and management of requirements [3]. In software development industry and academia, ontologies are beings used in requirements engineering phase. Ontology has explicit classes and properties and used as a standard form for knowledge representation of concepts inside a domain. It establishes an association in such a way that is allowable for automated reasoning [6], [7]. Ontologies can be used to manage heterogeneous requirements, accomplish consistency analysis, represents domain knowledge model and requirements changes [8]-[10].
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