resource Archive

Cognifying Model-Driven Software Engineering – Extended version

Cognification is the application of knowledge to boost the performance and impact of a process. We believe cognification could be a revolution in the way software is built.

100 Essential Software Engineering Quotes on Instagram

Over one hundred key quotes to remember when learning and practicing software engineering

Views on models: a survey of existing approaches

A detailed comparison of all methods and tools to create views on your models so that you can choose the one that works best for you

Discover the g9 Modeler and code generator – Tool review

g9 is one of the most flexible code-generator tools I’ve seen. It generates both the front-end, the back-end and the database for you. And it's fully integrated in Eclipse

Comparing Domain-Driven Design with Model-Driven Engineering

Model-driven engineering is the perfect complement to domain-driven design by providing DDD with the tools to realize its promise

The Modeling Craftsmanship Camp

Read about the benefits of organizing a modeling barcamp in your city

NeoEMF: a multi NoSQL Persistence Framework for Very Large Models

NeoEMF is a multi-database model persistence solution, that is able to store models in several kind of NoSQL datastores, including graph, map and column databases

Crowdsource the Notation of your Domain-Specific Language

How do you choose the shapes and colors for the elements of your new domain-specific language? Why not asking the crowd of future users for their opinion? This is what we've done with surprising results.

Why modeling tools don’t have affiliate programs?

Have you noticed that affiliate programs for modeling tools are mostly inexistent? Have you thought why this could be? We try to answer these questions

Six Negative Results in Software Engineering – EMSE Special Issue (published)

Negative or null results are hardly ever published though they are important in showing the paths which did not pay off. This special issue is a first step to change this

Modeling gamification and using it to improve the learning of software modeling

Our approach for modeling gamification process and its application to the learning of modeling itself with examples for UML and SQL. Implemented on top of Papyrus.

Evaluating the Maturity of the Eclipse Modeling Ecosystem

Often, modeling tools are regarded as immature and therefore not ready for industrial adoption. Read on to see if there is any truth in this.

MOPLAF – Modeling Optimization and Planning Framework

An Eclipse/EMF based tool to model optimization and planning problems. MOPLAF provides database and solver integration components for minimizing the code needed to generate and execute the modeled problem.

The secret life of rules in Software Engineering

Summary of my invited talk at the RuleML+RR conference where I discussed why rules are not first-class citizens in software engineering and why this has to change to keep up with the demands of big data and open data.

AADL in Practice – Book and Interview with Julien Delange

Become an expert of software architecture modeling and analysis with AADL (Architecture Analysis and Design Language)

From Models to code with no mysterious gaps – interview with Leon Starr

Leon Starr giving plenty of wisdom pearls on the benefits and optimal application of executable models while presenting his new book on the transition from models to code

OCL Monads – Functional Interpretation for the Object Constraint Language

The introduction of new functional-like features (like lambda expressions) in the OCL suggests a functional interpretation of the language as an optimal way to exploit such features.

Experimentation in DSL Engineering – Integrated Tool Environment

Design your own controlled experiments to improve the design of your domain specific languages. A/B tests for DSLs are now possible!!

Lightweight model-driven engineering

Revisiting all aspects of model-driven engineering (application, teaching, verification , tooling, research,...) promoting a lightweight perspective to maximize MDE success and adoption

All we have learned about software development by mining GitHub (plus some concerns)

Mining information on software projects hosted on GitHub can reveal a lot of useful information on how software projects (and the community behind them) should be managed to optimize your chances of success