On identifying possible artificial intelligence applications in requirements engineering processes

Abstract Managing an ever-growing number of requirements is a time consuming and highly complex activity in product development projects. With the rise Artificial Intelligence (AI) last decades, algorithms are now capable supporting Requirements Engineering (RE) tasks. The algorithm’s ability to intelligently process natural language data as well application RE have been published extensively. In established processes however, it often unclear, where AI can be utilized. result significant imbalance between state-of-the-art their rates real processes. One reasons is, that current models aren’t able convey needed information for identification suitable Therefore, this paper aims provide framework finite standardized steps with processing-oriented perspective, used systematically identify points applied. framework, abstracted expressed way compatible scope algorithms. Due steps, libraries defined built, so applicability efficiently assessed. presented was developed collaboratively during research project industry participation.