InfoQ Homepage Modeling Content on InfoQ
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10 Years Experience with Agile and Model Driven Software Development
Chung-Yeung Pang shares from his experience applying MDD and Agile to various projects.
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Modeling on the Web
Pedro Molina presents the challenges, benefits and limitations creating a cloud-based DSL tool. A demo of such a tool is included.
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The Business Cases for Modeling and Generators
Juha-Pekka Tolvanen keynotes on what modeling languages and generators are more helpful and cost effective.
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How Shutl Delivers Even Faster Using Neo4J
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
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On the Way to DSLs for Non-programmers
The authors share insights from their experience building DSLs for business people.
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Canonical Models for API Interoperability
Ted Epstein shows how a shared canonical model can make life easier for API consumers, while still allowing the flexibility to expose different services, with different contextual requirements.
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How Does Text Become Data?
Catherine Havasi, Rob Speer discuss and exemplify how to quantify Natural Language Processing with concept-based text understanding, modelling what people think about our world.
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Rock-solid UI Modeling using Annotation Processing
Gilles Di Guglielmo and Julien Baudry present patterns for solving UI issues –large forms, linked form fields, conditional field display, dynamic list content, incremental validation-, using modeling.
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Model-driven Development in the Context of Technical SOA
Michael Rauch and Christoph Gutmann explain how Eclipse Modeling technology is successfully applied to establish forward engineering in the domain of technical SOA.
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What's Needed to Make 'Model-Driven' Mainstream?
Jürgen Mutschall ponders what is to be done to make MDSD a mandatory development methodology for every large scale project.
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Why MDA Fails: Analysis of Unsuccessful Cases
Darius Silingas reviews multiple real-world MDA cases by presenting the problems faced, analyzing what went wrong, and suggesting how to address similar issues in your projects and organizations.
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Data Modeling for NoSQL
Tony Tam shares tips for modeling data with MongoDB for a fast and scalable system based on his experience migrating billions of records from MySQL to MongoDB.