DATCloud: A Model-Driven Framework for Multi-Layered Data-Intensive Architectures
Architecture Description Framework For Data-Intensive Applications
- Conference Link : IDSTA2023
PyDaQu: Python Data Quality Code Generation Based on Data Architecture @Model2023 Conference
Source Code : Link
DAT is an architecture description and associated modeling platform for the model-driven engineering of Data Architecture for IoT.
Source Code : Link
The CAPS Modeling framework was created to support Situational Aware Cyber-Physical Systems (SiA-CPS) engineering. SiA-CPS are systems consisting of a set of IoT devices such as sensors, cameras, etc, and they are essentially used to continuously monitor the (users) given indoor/outdoor spaces. The data gathered during the process are then converted to actionable insights.
A Measurement-Driven Approach to Enhancing Sustainability in Microservice Architectures
- Conference Link: ICSA 2025
- Slides: A Measurement-Driven Approach
PyDaQu: Python Data Quality Code Generation Based on DAT @Model2023 Conference
- Source Code : Link
DAT is an architecture description and associated modeling platform for the model-driven engineering of Data Architecture for IoT Data-Driven Applications.
- Source Code : Link