Model-Based Software and Systems Engineering

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

Häftad, Engelska, 2025

Av Francisco José Domínguez Mayo, Luís Ferreira Pires, Edwin Seidewitz, Francisco Jose Dominguez Mayo, Luis Ferreira Pires, Edwin Ferreira Pires, Luís

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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.

Produktinformation

Utgivningsdatum2025-08-21
Mått155 x 235 x 16 mm
Vikt435 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor270
FörlagSpringer International Publishing AG
ISBN9783031968402

Tillhör följande kategorier

Programvaruutveckling inom Data och it
Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it

.- 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.