Bachelor and Master Theses
To apply for conducting this thesis, please contact the thesis supervisor(s).
| Title: | LLMs for self-healing code |
| Subject: | Computer science, Software engineering |
| Level: | Basic, Advanced |
| Description: |
The goal of this thesis is to explore the feasibility of utilizing Large Language Models (LLMs) to implement self-healing code, which refers to code capable of identifying and rectifying faults autonomously. The study will start by focusing on relevant literature on self-healing code. Later, it will continue with the design, execution, and documentation of experiments aimed at determining the potential of LLMs in facilitating self-healing mechanisms. |
| Start date: | |
| End date: | |
| Prerequisites: |
Excellent programming skills in at least one programming language Excellent knowledge of English Understanding of LLMs |
| IDT supervisors: | Alessio Bucaioni |
| Examiner: | Alessio Bucaioni |
| Comments: |
The supervisor is Gabriele Gualandi https://www.es.mdu.se/staff/4441-Gabriele_Gualandi |
| Company contact: |