TemporalEMF adds native temporal support for models. Models are automatically treated as temporal models and can be subjected to temporal queries to retrieve the model contents at different points in time. Behind the scenes, the history of a model is transparently stored in a NoSQL database.
The first step in refactoring modeling technology is to understand and tame language complexity. This post proposes several solutions for that, for instnace, the definition of alternative notations for the same conceptual language.
A common problem when modeling software systems is the lack of support to specify how to enforce privacy concerns in data models. In this post, we propose a profile to define and enforce privacy concerns in UML class diagrams. Models annotated with our profile can be used in model-driven methodologies to generate privacy-aware applications.
Our tool is able to visualize how end-users interact with open data sources regarding two types of metrics: (1) performance metrics and (2) semantic metrics. Among them, we include a UML heatmap to highlight the part of the open data schema that is most frequently requested
Check (and contribute to) the OCL repository in GitHub
We propose the integration of digital watermarking techniques in the model-driven engineering development lifecycle as way to protect the intellectual property of your modeling artefacts in collaborative modeling scenarios
Most NoSQL database systems do not require the definition of schemas but this does not mean such schema does not (implicitly) exist. We have implemented a model-driven reverse engineering approach to infer such NoSQL implicit schemas
We present our new tool OpenAPItoUML to generate UML models from OpenAPI definitions, thus offering a better visualization of the data model and operations of REST APIs. OpenAPItoUML is available as an open source Eclipse plugin.
See how you can use Telosys as a “development accelerator” for your next project. Thanks to its pragmatic approach, it allows for a quick start of very different kinds of projects.
Summary of our contributions towards a scalable query and transformation modeling framework able to handle very large models
Modelling is a useful technique for shaping, exploring, documenting, understanding and communicating artefacts of many kinds, and not only software. ConML is a conceptual modelling language for non-experts in information technologies and especially suited to serve non-software modeling domains.
Overcome the limitations of executing model transformations on large models by distributing them on top of a mapreduce infrastructure. We've done it for ATL. Read the full details on this paper accepted in the Journal of Systems and Software
OData is a protocol to facilitate the publication and consumption of queryable and interoperable data-driven services. OData is based on the use of RESTful APIs derived from a data model. We present a model-driven approach to automate the generation of OData services from data sources
Read about a new project between CEA List and Universitat Oberta de Catalunya on the integration of Artificial Intelligence in software development tools.
How to partition the system into a set of domain models and decide the best language for each domain. Plus the need to choose the model platform that best fits your project.
Slides and full chapter for our introductory tutorial to the OCL language, now with more than 65.000 views on slideshare
Our special issue on Quality in Model-Driven Engineering has now been finalized and published online in the Computer Languages, Systems & Structures journal linked to the Quality Aspects in Model Driven Engineering track at QUATIC 2016
Have you ever thought how effective and practical use of open data might change our societies
Have you ever thought about using social networks and chatbots for collaborative modeling? Well, this is now possible. Read how you can built your models using natural language discussions on twitter and telegram