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Nassim Kharmoum

Researcher at Mohammed V University

Publications -  17
Citations -  61

Nassim Kharmoum is an academic researcher from Mohammed V University. The author has contributed to research in topics: Computer science & Metamodeling. The author has an hindex of 3, co-authored 12 publications receiving 22 citations.

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Journal ArticleDOI

An Automatic Transformation Method from the E3value Model to IFML Model: An MDA Approach

TL;DR: A disciplined Model-Driven approach for the e-business information system is proposed, which generates the IFML model automatically in the PIM level from business value model in the CIM level, using the ATL transformation language.
Journal ArticleDOI

An automatic transformation method from the e3value model to uml2 sequence diagrams: an mda approach

TL;DR: The defiance in this paper is to propose a disciplined method that generates the UML2 Sequence diagrams automatically from the E3value model, which produces the U ML’s behavior and interaction model in the PIM level, from the value-based requirements model inThe CIM level.
Journal ArticleDOI

Combining Domain Ontologies and BPMN Models at the CIM Level to generate IFML Models

TL;DR: This article presents a new modeling approach based on a model-driven development process, starting with the representation of BPMN and ODM models as CIM Models, then transforming them into an IFML diagram by applying a transformation engine.
Book ChapterDOI

A Novel Automatic Transformation Method from the Business Value Model to the UML Use Case Diagram

TL;DR: The aim in this paper is to construct a sound and more consistent higher MDA level for e-business information systems by automatically generating a higher level of functional requirements model from the Business Value model.
Journal ArticleDOI

Transformations’ Study Between Requirements Models and Business Process Models in MDA Approach

TL;DR: This paper studies different transformations approaches between Requirements and Business Process models in the higher and average MDA abstraction levels, and proposes new taxonomies based on the deduced evaluation criteria.