Model transformations are a key element in any model-driven engineering approach. But
writing them is a time-consuming and error-prone activity that requires specific knowledge of …

Background Transfer learning allows us to train deep architectures requiring a large number
of learned parameters, even if the amount of available data is limited, by leveraging existing …

There is a huge necessity for tools that implement accessibility in Software Engineering (SE)
education. The use of diagrams to teach software development is a very common practice …

Background Despite the well-documented and numerous recent successes of deep
learning, the application of standard deep architectures to many classification problems …

Featured Application The tool presented in this paper is useful in improving the effectiveness
of common web search engines like Google Images. The tool is also useful for searching …

The development of systems following model-driven engineering can include models from
different domains. For example, to develop a mechatronic component one might need to …

OCR engines aim to identify and extract text strings fromdocuments or images. While current
efforts focus mostly inmainstream languages, there is little support for program-ming or …

The development of systems following model-driven engineering can include models from
different domains. For example, to develop a mechatronic component one might need to …

Academia's lack of UML artifacts has been an impediment in researching UML and its
implication in software development. This has initiated the conception of the UML repository …

This study presents the method and the result of a Systematic Literature Review to identify
UML diagrams classified in a process of reusing software design artifacts, and the image …