In this paper, we present a greedy-based algorithm for matching UML class diagrams based on their lexical, internal, neighborhood similarity, and a combination of them. Additionally the paper ...

By creating a visual representation of students’ performance, teachers can help them make sense of their skills and areas for ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

We present the results of two controlled experiments to compare ER and UML class diagrams, in order to find out which of the models provides better support during the comprehension of data models. The ...