Description

This intensive and comprehensive course on the Merise method offers operational training by providing a clear and concise presentation of concepts, as well as numerous practical exercises. Additionally, it emphasizes practical application in the field by providing frequent references. Thanks to this approach, participants will be able to acquire real mastery of the Merise method.

Who is this training for ?

For whom ?

Any person directly involved in the design of an application (project manager, designer, IT specialist).

Prerequisites

None.

Training objectives

Define a data dictionary based on application specifications Develop flow models to describe information exchanges Build a conceptual data model from an existing one Moving from flow models to processing models with Merise Apply the rules to describe the organization of processing and data Represent logical functions with Merise

Training program

• Presentation of the Merise method
  • - Identification of the basic concepts.
  • - The models.
  • - General presentation of the Merise approach.
  • - The preliminary study.
  • - The detailed study.
  • - Actors, main tasks, expected results.
  • - Compendium of the existing data.
  • - Models and flow diagrams .
  • - The validation of the perception of the existing.
• Flow models (MCF, MCC, MOF)
  • - Context model, conceptual (or communication) and organizational model of flows.
  • - Types of flows, types of actors.
  • - Rules of 'model development.
• Conceptual Data Level (CDL)
  • - An intuitive approach to concepts.
  • - Object, relation, property, occurrence, identifier.
  • - Rules for building a MCD.
• Conceptual level of treatments (MCT, MCTA, CVO)
  • - Processes, operations, events and results.
  • - Issuance and management rules.
  • - Development rules: from flow models to processing models .
• Organizational level of processing (MOT, MOTA)
  • - Concepts: procedure, phase, organization.
  • - MOT construction rules.
  • - MOTA: concepts and construction rules.
  • - External models.
• Data Organizational Level (MOD)
  • - The organizational model of the data.
  • - The authorizations associated with the data.
  • - The conceptual, organizational or technical data.
  • - Construction rules and presentation.
• Logical level of processing (MLT)
  • - Functional dialogue and man/machine dialogue.
  • - Graphical interfaces.
  • - The non-interactive core.
• Merise verse UML
  • - Merise and the Object approach.
  • - UML models.
  • - Comparison between Merise and UML models.
  • - UML and driving of projects.