From Image to UML: First Results of Image Based Class Diagram Generation Using LLMs
Can we use LLM to quickly generate proper UML models from hand drawn model sketches? We set out to answer this question by comparing four different LLMs with vision capabilities
Modeling and enforcing access control policies in conversational user interfaces
Access-control is a key element to manage security in any user interface. This is the first attempt to extend conversational user interfaces with access-control capabilities.
Birth and death of a commercial modeling tool: lessons learned
We tried to become rich by creating a model-driven chatbot solution. See what happened next.
Modeling and Deploying Platform-Independent Bots on Open Source Projects
Easily design and deploy community bots to help you manage your open source projects
Welcome to the low-modeling revolution
Low-modeling platforms accelerate the modeling of a software system by dramatically reducing the amount of hand-modeling required
ModelSet: a Labelled Dataset of Software Models for Machine Learning
Curated collections of models are essential for the success of Machine Learning (ML) and Data Analytics in Model-Driven Engineering (MDE). However, there is still a lack of curated datasets of software models. We believe that there are several reasons for this,...
Object Event Modeling for Low-Code Business App Development
While research in Business Process Modeling has focused on events and processes, neglecting objects, research in Conceptual Modeling for Information Systems engineering has focused on objects, neglecting events. OEM reconciles both perspectives, giving equal weight to objects and events.
Using uncertainty as an input to managing inconsistencies
Uncertainty and inconsistency are inherent aspects of the development of any complex system. In practice, both must be tolerated to some extent so as not to inhibit engineers in their work, especially during the early stages of development.
Orca – Your new no-code way to edit a Docker-Compose file
Simplify the creation of configuration files for your software deployments with our new graphical environment able to generate docker compose files for you
Model-driven Prompt Engineering
We propose a DSL for prompt engineering to define platform-independent prompts that can later be adapted to provide good quality outputs in any target AI system
Automating Bias Testing of Large Language Models
Large Language Models (LLMs) are being quickly integrated in a myriad of software applications. This may introduce a number of biases, such as gender, age or ethnicity, in the behavior of such applications. To face this challenge, we explore the automatic generation of tests to assess the potential biases of an LLM.
Modeling: all you need to know
