We explain why you should think about learning ANTLR to generate your future parsers and what are the best resources for that
Read about our access-control mechanisms for models. We rely on a new domain-specific language tailored to the definition of RBAC rules on models and on its enforcement thanks to the automatic generation of security compliant (virtual) views.
Defining the right constraints for any system is a challenging task that risks over-constraining or under-constraining the data. Our method helps designers to find the proper constraints by automatically mutating them to fit the sample data
We propose a model-based approach to compose data-driven REST APIs. Our approach creates a global API exposing a unified data model. This global model is exposed as an OData service
We propose to employ graph kernels for clustering software modeling artifacts. Among other benefits, this would improve the efficiency and usability of a variety of software modeling activities, e.g., design space exploration, testing or verification and validation.
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