Supporting Model–Driven Development of Object–Relational Database Schemas: A Case Study

Model-driven software development is surrounded by numerous myths and misunderstandings that hamper its adoption. For long, our students were victims of these myths and considered MDSD impractical and only applied in academy. In this paper we discuss these myths and present our experience with devising an MDSD course that challenges them and motivates students to understand MDSD principles. The main contribution of this work is a set of MDSD teaching guidelines that can make the course pragmatic in the eyes of students - programmers. These guidelines introduce MDSD from the viewpoint of a programmer as a pragmatic tool for solving concrete problems in the development process. In our MDSD course we implemented the presented guidelines. The course shows several techniques and principles of model-driven development in multiple incremental iterations instead of concentrating on a single tool. At the same time we unite these techniques by using a dynamic visualisation tool that shows to the students the whole infrastructure in the big picture. The course is implemented as an iterative incremental MDSD case study. The paper concludes with a survey performed with our students that indicates positive results of the approach.

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Streamlining scenario modeling with Model-Driven Development: A case study

2011 Model-Driven Requirements Engineering Workshop ◽

10.1109/modre.2011.6045367 ◽

2011 ◽

Cited By ~ 4

Author(s):

Miguel Goulao ◽

Ana Moreira ◽

Joao Araujo ◽

Joao Pedro Santos

Keyword(s):

Model Driven Development ◽

Scenario Modeling ◽

Model Driven

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Towards ontoUML for software engineering: Transformation of kinds and subkinds into relational databases

Computer Science and Information Systems ◽

10.2298/csis170109035r ◽

2017 ◽

Vol 14 (3) ◽

pp. 913-937 ◽

Cited By ~ 3

Author(s):

Zdeněk Rybola ◽

Robert Pergl

Keyword(s):

Software Engineering ◽

Relational Database ◽

Relational Databases ◽

Conceptual Modelling ◽

Modelling Language ◽

Model Driven Development ◽

Model Driven ◽

Precise Meaning ◽

Application Data ◽

High Level

OntoUML is an ontologically well-founded conceptual modelling language that distinguishes various types of classifiers and relations providing precise meaning to the modelled entities. While Model-Driven Development is a wellestablished approach, OntoUML has been overlooked so far as a conceptual modelling language for the PIM of application data. This paper is an extension of the paper presented at MDASD 2016, where we outlined the transformation of Rigid Sortal Types ? Kinds and Subkinds. In this paper, we discuss the details of various variants of the transformation of these types and the rigid generalization sets. The result of our effort is a complete method for preserving high-level ontological constraints during the transformations, specifically special multiplicities and generalization set meta-properties in a relational database using views, CHECK constraints and triggers.

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