Requirements Engineering Using Generative AI: Prompts and Prompting Patterns
Kapitel i bok, 2024
Method Two tasks related to requirements, specifically requirement classification and tracing, were automated using the GPT-3.5 turbo API. The performance evaluation involved assessing various prompts created using 5 prompt patterns and implemented programmatically to perform the selected RE tasks, focusing on metrics such as precision, recall, accuracy, and F-Score.
Results This paper evaluates the effectiveness of the 5 prompt patterns’ ability to make GPT-3.5 turbo perform the selected RE tasks and offers recommendations on which prompt pattern to use for a specific RE task. Additionally, it also provides an evaluation framework as a reference for researchers and practitioners who want to evaluate different prompt patterns for different RE tasks.
Författare
Krishna Ronanki
Software Engineering 2
Göteborgs universitet
Beatriz Cabrero-Daniel
Software Engineering 2
Göteborgs universitet
Jennifer Horkoff
Göteborgs universitet
Software Engineering 1
Christian Berger
Software Engineering 2
Göteborgs universitet
Generative AI for Effective Software Development
109-127
Ämneskategorier (SSIF 2025)
Programvaruteknik
Datavetenskap (datalogi)
DOI
10.1007/978-3-031-55642-5_5