Model-Based Software and Systems Engineering: 12th International Conference, MODELSWARD 2024, Rome, Italy,...

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Francisco José Domínguez Mayo Luís Ferreira Pires

Model-Based Software and Systems Engineering

12th International Conference, MODELSWARD 2024, Rome, Italy, February 21–23, 2024, Revised Selected...

Francisco José Domínguez Mayo, Luís Ferreira Pires, Edwin Seidewitz

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English

Springer International Publishing AG
21 August 2025

Software Engineering; Systems analysis & design; Artificial intelligence

Series: Communications in Computer and Information Science

This volume constitutes the revised selected papers of 12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024, in Rome, Italy, during February 21–23, 2024.

The 7 full papers and 6 short papers included in this book were carefully reviewed and selected from 47 submissions. The papers are categorized under the topical sections as follows: Methodologies, Processes and Platforms; Modeling Languages, Tools and Architectures.

Edited by: Francisco José Domínguez Mayo, Luís Ferreira Pires, Edwin Seidewitz
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 2547
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031968402
ISBN 10: 3031968409
Series: Communications in Computer and Information Science
Pages: 270
Publication Date: 21 August 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

.- Methodologies, Processes and Platforms. .- A Framework for Comparative Analysis of News Content: A Model-Based Approach. .- Analyzing Side-Tracking of Developers Using Object-Centric Process Mining. .- Enhancing Scenario-Based Modeling Using Large Language Models. .- Model-Driven Development of Chatbot Microservices. .- DynaTool: A Tool for Optimizing Hybrid Software Process. .- Modeling Languages, Tools and Architectures. .- Specifying, Analysing and Implementing Decision-Support System Architectures. .- An Approach for the Comparative Evaluation of RequirementsFormalisation Approaches. .- A Pluggable Type Checker for Representing Kinds of Quantities. .- Model-Driven Engineering for Data Provenance: A Graphical W3C PROV Modeling Tool. .- LLM as a Code Generator in Agile Model Driven Development. .- A Modeling Framework for Hardware-Software Systems with Machine Learning Components. .- Code Generation for Smart Contracts in Enterprise Application Integration. .- Deploying Machine Learning for Automatic Metamodel Instance Generation.