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Proceedings of ISP RAS, 2024 Volume 36, Issue 2, Pages 73–82 (Mi tisp874)

Application of generative artificial intelligence for risk management of software projects

A. D. Dzheiraniana, M. A. Plaksinba

a National Research University "Higher School of Economics", Perm Branch
b Perm State National Research University

Abstract: The article highlights an innovative approach to risk management in software projects using generative artificial intelligence. It describes a methodology that involves the use of publicly available chatbots to identify, analyze, and prioritize risks. The Crawford method is used as a basis for risk identification. The authors propose specific formulations of requests to chatbots (instructs, prompts) that facilitate obtaining the necessary information. The effectiveness of the methodology has been demonstrated on five small software projects and a dozen of economic and organizational projects of significantly different scales, from small to federal. This confirms its applicability and practical value.

Keywords: generative artificial intelligence, chatbot, risk management, risk identification, Crawford cards, software projects

Language: English

DOI: 10.15514/ISPRAS-2024-36(2)-6



© Steklov Math. Inst. of RAS, 2024