Exploring RAG and Prompt Engineering for Trace Link Recovery
| Typ | Bachelorarbeit | |
|---|---|---|
| Aushang | RAG PromptEngineering.pdf | |
| Betreuer | Wenden Sie sich bei Interesse oder Fragen bitte an: Dominik Fuchß (E-Mail: dominik.fuchss@kit.edu, Telefon: +49-721-608-47381) |
Retrieval-Augmented Generation (RAG) is a method that integrates large language models (LLMs) with external knowledge sources. Building on this concept, previous work has developed a framework aimed at restoring traceability links between artifacts in software development processes (Traceability Link Recovery).
Trace links connect elements across different artifacts, such as requirements and implementation, and are crucial for ensuring the traceability of software development processes.
A key factor in this process is the design of the prompts used to identify traceability links. The choice of prompt techniques can influence the quality and effectiveness of the results.