LLM-Based Detection and Prioritization of Self-Admitted Technical Debt (SATD) in Software Repositories

An LLM-based system that detects and prioritises self-admitted technical debt (SATD) in software repositories.

An LLM-based system that detects and prioritises self-admitted technical debt (SATD) in software repositories. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want to practise engineering discipline: requirements, design, implementation, automated testing and measuring software quality.

The main parts are a clear requirements and design document, the working implementation, automated tests with quality metrics, and a report on what the measurements show. The reference build uses LLM APIs, Python, Git, Docker, and pytest, with a clear project structure, setup instructions and sample data so that it can be run and extended.