4 citations · 7 across the 4 of their papers we have counts for
4 papers
Are Large Language Models Memorizing Bug Benchmarks?
Daniel Ramos, Claudia Mamede, Kush Jain +3
Large Language Models (LLMs) have become integral to various software engineering tasks, including code generation, bug detection, and repair. To evaluate model performance in thes…
Understanding Misconfigurations in ROS: An Empirical Study and Current Approaches
Paulo Canelas, Bradley Schmerl, Alcides Fonseca +1
The Robot Operating System (ROS) is a popular framework and ecosystem that allows developers to build robot software systems from reusable, off-the-shelf components. Systems are of…
Data types as a more ergonomic frontend for Grammar-Guided Genetic Programming
Guilherme Espada, Leon Ingelse, Paulo Canelas +2
Genetic Programming (GP) is an heuristic method that can be applied to many Machine Learning, Optimization and Engineering problems. In particular, it has been widely used in Softw…
User-driven Design and Evaluation of Liquid Types in Java
Catarina Gamboa, Paulo Alexandre Santos, Christopher S. Timperley +1
Bugs that are detected earlier during the development lifecycle are easier and cheaper to fix, whereas bugs that are found during production are difficult and expensive to address,…