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DOI: 10.14569/IJACSA.2023.0140875

Chatbot Program for Proposed Requirements in Korean Problem Specification Document

Author 1: Young Yun Baek
Author 2: Soojin Park
Author 3: Young B. Park

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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 8, 2023.

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Abstract: In software engineering, requirement analysis is a crucial task throughout the entire process and holds significant importance. However, factors contributing to the failure of requirement analysis include communication breakdowns, divergent interpretations of requirements, and inadequate execution of requirements. To address these issues, a proposed approach involves utilizing NLP machine learning within Korean requirement documents to generate knowledge-based data and deduce actors and actions using natural language processing knowledge-based information. Actors and actions derived are then structured into a hierarchy of sentences through clustering, establishing a conceptual hierarchy between sentences. This is transformed into ontology data, resulting in the ultimate requirement list. A chatbot system provides users with the derived system event list, generating requirement diagrams and specification documents. Users can refer to the chatbot system's outputs to extract requirements. In this paper, the feasibility of this approach is demonstrated by applying it to a case involving Korean-language requirements for course enrollment.

Keywords: Requirement engineering; NLP machine learning; clustering; Korean document; chatbot

Young Yun Baek, Soojin Park and Young B. Park, “Chatbot Program for Proposed Requirements in Korean Problem Specification Document” International Journal of Advanced Computer Science and Applications(IJACSA), 14(8), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140875

@article{Baek2023,
title = {Chatbot Program for Proposed Requirements in Korean Problem Specification Document},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140875},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140875},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {8},
author = {Young Yun Baek and Soojin Park and Young B. Park}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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