3 papers
cs.SE2026
An Empirical Study of Foundation Models for Variability-Induced Compilation Errors in Configurable C Code
Rohit Gheyi, Lucas Albuquerque, Márcio Ribeiro +3
In configurable systems, conditional compilation can hide compilation errors under untested feature combinations. We investigate foundation models for detecting such errors and, in…
cs.SE2025
Code Generation with Small Language Models: A Codeforces-Based Study
Débora Souza, Rohit Gheyi, Lucas Albuquerque +2
Large Language Models (LLMs) demonstrate capabilities in code generation, potentially boosting developer productivity. However, their adoption remains limited by high computational…
cs.SE2024
Evaluating the Capability of LLMs in Identifying Compilation Errors in Configurable Systems
Lucas Albuquerque, Rohit Gheyi, Márcio Ribeiro
Compilation is an important process in developing configurable systems, such as Linux. However, identifying compilation errors in configurable systems is not straightforward becaus…