Description

Book Synopsis

.- 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.

ModelBased Software and Systems Engineering

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    Order before 4pm today for delivery by Mon 15 Jun 2026.

    A Paperback by Francisco José Domínguez Mayo

    15 in stock


      View other formats and editions of ModelBased Software and Systems Engineering by Francisco José Domínguez Mayo

      Publisher: Springer
      Publication Date: 28/07/2025
      ISBN13: 9783031968402, 978-3031968402
      ISBN10:

      Description

      Book Synopsis

      .- 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.

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