Pricing model of low-code tools does not work for indie developers
Low-code tools should be the perfect match for solopreneurs trying to release their software products ASAP. But low-code tools are too expensive for them. We explore potential alternatives.
A Model-driven Migration Approach among Cloud Providers
ARGON helps you to define your cloud infrastructure provisioning (via its own DSL) and, based on that, automate the migration process from one cloud provider to the other
JSONSchema To UML: Tool to Generate UML diagrams from JSON Schema Definitions
More and more companies define their data sources using JSONSchemas. This tool helps you to better understand JSONSchema specifications by visualizing them as UML class diagrams.
10 Tools for Modeling AI Components – Machine Learning without the code
A selection of visual modeling environments for data science, machine learning and smart apps. The fastest way to start building your own AI components and ML models
Model-Based Systems Engineering – Adoption Challenges (Survey Results)
The work presented here is a first step in the direction of defining, understanding and measuring the challenges associated with the adoption of model-based systems engineering.
Smart modeling tools – AI to help you model better
List of smart modeling tools, i.e. tools that include an AI assistant to help modelers write better models faster.
Concerning Concerns – An Architectural Walkthrough of the Business and Information Systems Arena
A discussion of architectural patterns from a modeling perspective. How modeling can help the organization of your information system? How (bad) modeling practices can damage it?
Validating Large Models with Mogwaï
Validate efficiently large models using OCL rewriting techniques and optimized database query generation using the Mogwaï tool.
Expressing Confidence in Models and Model Transformation
Models need to represent the reality as accurately as possible. Nevertheless, complex systems are subject to uncertainty something difficult to express with plain UML. We propose a way to represent uncertainty on software models. Our uncertainty values can then be propagated through model transformations to evaluate the impact on other parts of the system.
Automatic Generation of Test Cases for REST APIs: a Specification-Based Approach
We automatically test REST API based on their specifications, particularly OpenAPI ones. To our surprise, many of our tests failed, meaning that the OpenAPI definition and the actual API were not an exact match.
Robust Hashing for Models
We present a novel robust hashing mechanism for models. Robust hashing algorithms (i.e. hashing algorithms that generate similar outputs from similar input data) are useful as a key building block in intellectual property protection, authenticity assessment and fast comparison and retrieval solutions
Modeling: all you need to know
