E-Book, Englisch, 233 Seiten
Dahanayake / Pastor / Thalheim Modelling to Program
1. Auflage 2021
ISBN: 978-3-030-72696-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Second International Workshop, M2P 2020, Lappeenranta, Finland, March 10–12, 2020, Revised Selected Papers
E-Book, Englisch, 233 Seiten
Reihe: Communications in Computer and Information Science
ISBN: 978-3-030-72696-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
The 10 papers presented were thoroughly reviewed and selected from 24 submissions. The papers provide a discussion on novel approaches to programming based on modelling approaches such as model-driven development (MDE, MDA, MDD) and conceptual-model programming and their future developments. The topics of the papers include notions of models that can be understood and used as programs, models-at-runtime, advanced conceptual modelling, conceptual-model programming, modelling foundation, transformation of models to programs, model suites/ensembles for programmers, modelling as the first step to programming and its revisions, advanced model-driven programming and software modernisation, modelling in applications.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
From Models For Programming To Modelling To Program and Towards Models As A Program.- How to Catch a Moonbeam: From Model-Ware to Component-Ware Software Product Engineering.- Models versus Model Descriptions.- Modeling and Implementing of Industrie 4.0 Scenarios.- Agile Generator-Based GUI Modeling for Information Systems.- Formal Model Checking and Transformations of Models Represented in UML with Alloy.- Structurally Recursive Patterns in Data Modeling and their Resolution.- A Models-to-Program Information Systems Engineering Method.- Automating Implementation of Business Logic of Multi Subject-domain IS onthe Base of Machine Learning, Data Programming and Ontology-based Gener-ation of Labeling Functions.- Conceptual Model Reuse for Problem Solving in Subject Domains.- Applying Model-Driven Approach for Data Model Unification.