@inproceedings{0f4da450fe5c49c984e0cc423b3e5087,
title = "Prompt Patterns for Agile Software Project Managers: First Results",
abstract = "In the evolving field of Agile Project Management (APM), the role of the project manager is in transition. This paper identifies common {\textquoteleft}pain points{\textquoteright} in APM through a literature review and constructs a theoretical model to address them. The study introduces {\textquoteleft}Prompt Engineering{\textquoteright} as a novel approach to leverage artificial intelligence (AI), specifically ChatGPT, for mitigating these challenges. Empirical research evaluates ChatGPT's capabilities and reliability in managing various project tasks using engineered prompts. The findings suggest that while ChatGPT cannot fully replace human project managers, it excels in assisting, guiding, and automating specific tasks when guided by well-crafted prompts. As an outcome, prompt engineering patterns for project managers is proposed to facilitate the application of AI in agile settings. In this paper, we introduce patterns for requirements management, stakeholder and management teams and role clarification. The paper concludes that ChatGPT's knowledge is generally reliable but emphasizes the need for expert evaluation in critical areas.",
keywords = "Agile Project Management, Artificial Intelligence, ChatGPT, LLM, Pain Points, Patterns, Prompt Engineering",
author = "Kari Sainio and Pekka Abrahamsson and Tero Ahtee",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.; International Conference on Software Business ; Conference date: 27-11-2023 Through 29-11-2023",
year = "2024",
doi = "10.1007/978-3-031-53227-6_14",
language = "English",
isbn = "978-3-031-53226-9",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer",
pages = "190--204",
editor = "Sami Hyrynsalmi and J{\"u}rgen M{\"u}nch and Kari Smolander and Jorge Melegati",
booktitle = "Software Business - 14th International Conference, ICSOB 2023, Proceedings",
}