activity
20152026
most citedRecommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models

76 citations · 278 across the 39 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.SE2022

Towards using Few-Shot Prompt Learning for Automating Model Completion

Meriem Ben Chaaben, Lola Burgueño, Houari Sahraoui

We propose a simple yet a novel approach to improve completion in domain modeling activities. Our approach exploits the power of large language models by using few-shot prompt lear…

cs.SE2022★ 40 cited

Towards Automatically Extracting UML Class Diagrams from Natural Language Specifications

Song Yang, Houari Sahraoui

In model-driven engineering (MDE), UML class diagrams serve as a way to plan and communicate between developers. However, it is complex and resource-consuming. We propose an automa…

cs.SE2022

Social Diversity for ATL Repair

Zahra Varaminybahnemiry, Jessie Galasso, Houari Sahraoui

Model transformations play an essential role in the Model-Driven Engineering paradigm. Writing a correct transformation program requires to be proficient with the source and target…

cs.CL2022★ 2 cited

AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models

José Antonio Hernández López, Martin Weyssow, Jesús Sánchez Cuadrado +1

The objective of pre-trained language models is to learn contextual representations of textual data. Pre-trained language models have become mainstream in natural language processi…

cs.SE2022★ 8 cited

Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice

Bentley James Oakes, Michalis Famelis, Houari Sahraoui

Domain experts are increasingly employing machine learning to solve their domain-specific problems. This article presents six key challenges that a domain expert faces in transform…

cs.SE2022★ 2 cited

Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning

Martin Weyssow, Houari Sahraoui, Bang Liu

The progress made in code modeling has been tremendous in recent years thanks to the design of natural language processing learning approaches based on state-of-the-art model archi…

cs.SE2022

Code Sophistication: From Code Recommendation to Logic Recommendation

Jessie Galasso, Michalis Famelis, Houari Sahraoui

A typical approach to programming is to first code the main execution scenario, and then focus on filling out alternative behaviors and corner cases. But, almost always, there exis…