Nutzung der Leistungsfähigkeit generativer künstlicher Intelligenz zur Steigerung der Qualität und Produktivität im Use Case des Requirements Engineering

Abstract

This study examines the role of generative artificial intelligence (GenAI) in the field of requirements engineering (RE). The aim is to increase quality and productivity in the RE process and provide a solution to existing RE challenges. An artifact for generating user stories is developed and evaluated, based on the design science research (DSR) methodology. The methodology includes a literature review to provide an adequate problem definition. Furthermore, eleven interviews with experts from fields such as RE and GenAI, as well as as an additional literature search, are conducted to develop design principles for the resulting artifact. Finally, the resulting artifact is evaluated with ten RE experts. The results show that compared to manual methods the use of GenAI in the RE process increases productivity by enabling a more efficient creation of user stories. Additionally, the evaluation results suggest that a hybrid approach can improve the quality of the generated user stories. Furthermore, it is demonstrated that GenAI can be employed to address existing RE challenges. This research contributes to the literature by investigating the integration of GenAI in the RE process and by highlighting practical implications. It provides insights for the further development of GenAI applications in RE and emphasizes the importance of balancing the use of human and artificial intelligence.