11 citations · 11 across the 2 of their papers we have counts for
4 papers
ASAD: Adaptive Software Agents for Debugging
Yacine Majdoub, Eya Ben Charrada, Haifa Touati
The integration of Large Language Models (LLMs) into multi-agent systems has shown great potential for automated debugging. Yet nearly all current frameworks rely on rigid, predefi…
Understanding and Mitigating Library-Related Issues in LLM-Generated Code
Yacine Majdoub, Rinad Hamid, Eya Ben Charrada +2
Software practitioners increasingly rely on Large Language Models (LLMs) to generate code that integrates external libraries. However, LLMs often produce incorrect library usage, s…
Towards Adaptive Software Agents for Debugging
Yacine Majdoub, Eya Ben Charrada, Haifa Touati
Using multiple agents was found to improve the debugging capabilities of Large Language Models. However, increasing the number of LLM-agents has several drawbacks such as increasin…
Debugging with Open-Source Large Language Models: An Evaluation
Yacine Majdoub, Eya Ben Charrada
Large language models have shown good potential in supporting software development tasks. This is why more and more developers turn to LLMs (e.g. ChatGPT) to support them in fixing…