What is it about?
There is a vast literature on model transformation testing and debugging, which makes it challenging to gain a comprehensive view of the current state of the art. This paper presents a survey on testing and debugging model transformations based on the analysis of 140 papers on the topics.
Featured Image
Photo by Lukas Blazek on Unsplash
Why is it important?
We explore the trends, advances, and evolution over the years, bringing together previously disparate streams of work and providing a comprehensive view of these thriving areas. In addition, we present a conceptual framework to understand and categorise the different proposals. Finally, we identify several open research challenges and propose specific action points for the model transformation community.
Read the Original
This page is a summary of: Model Transformation Testing and Debugging: A Survey, ACM Computing Surveys, March 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3523056.
You can read the full text:
Contributors
The following have contributed to this page
