Overview

This book constitutes revised selected papers from the Second International Workshop on Modelling to Program, M2P 2020, held in Lappeenranta, Finland, in March 2020. 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.

Full Product Details

Author:   Ajantha Dahanayake ,  Oscar Pastor ,  Bernhard Thalheim
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   1401
Weight:   0.454kg
ISBN:  

9783030726959

ISBN 10:   3030726959
Pages:   233
Publication Date:   31 March 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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