We present our ecosystem of tools to facilitate the automatic discovery, merging, quality assurance and code-generation of REST APIs, relying on standard specifications like OpenAPI and OData.
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.
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
Sismic is a lightweight approach for defining, validating and executing statecharts thanks to an open source API implemented in Python 3
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
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
