Washing symbols are a universal way to quickly explain key properties of a piece of cloth and how you should handle it. A similar approach for models would help designers to understand the context, goal, quality,... of a model they just ran into.
Sismic is a lightweight approach for defining, validating and executing statecharts thanks to an open source API implemented in Python 3
Continuity is a drawing and a modeling tool at the same time and tries to combine the best of both worlds to help you create beautiful formal models
Learn how to model classes (and their logic) in this next chapter of our Executable UML tutorial. Via an illustrative example, you'll learn all the trade-offs you must consider when identifying, naming and modeling the main concepts of your system.
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
System evolution is hard to manage unless done systematically. This is especially important in product line engineering. Our approach is a methodology to directly contain the risk of the “exponential rise in complexity” for rapidly evolving product lines.
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.
Clearly, the huge potential of modeling has not come to fruition yet. Read on to see why and what are the requirements we propose for a transformation of modeling technologies in a complete new ecosystem, called miotope
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.