Application of Generative AI for Business Analyst role

Authors

  • Nilesh D Kulkarni Sr. Director - Enterprise Architecture, Fortune Brands Home & Security,USA Author
  • Saurav Bansal Sr. Manager - Digital Applications, Fortune Brands Home & Security, USA Author

DOI:

https://doi.org/10.47363/0ett0239

Keywords:

User Story, Generative AI, User Requirements, Requirements Engineering

Abstract

This paper presents a comprehensive study on the application of Generative AI, specifically focusing on its role in enhancing the business analyst role within the realm of software development. It delves into the nuances of requirements engineering, a crucial phase in the software development lifecycle, and the transformation of user requirements into user stories. The paper explores the use of natural languages for crafting user requirements and emphasizes the revolutionary impact of Generative AI, particularly Open AI's Chat GPT, in automating and refining the process of generating user stories, acceptance criteria, and the definition of done. It speaks about the prompt-compression method with “LLM Lingua,” and conversation chaining using “Lang chain” aimed at optimizing the efficiency of large language models in handling extensive requirements, thereby signifying a significant stride in the field of software development and requirements engineering.

Author Biography

  • Nilesh D Kulkarni, Sr. Director - Enterprise Architecture, Fortune Brands Home & Security,USA

    Nilesh D Kulkarni, Sr. Director – Enterprise Architecture, Fortune Brands Home & Security, USA

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Published

2023-12-29

How to Cite

Application of Generative AI for Business Analyst role. (2023). Journal of Artificial Intelligence & Cloud Computing, 2(4), 1-5. https://doi.org/10.47363/0ett0239

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