Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Process for Automatic Requirement Generation in Korean Requirements Documents using NLP Machine Learning

NLP 기계 학습을 사용한 한글 요구사항 문서에서의 요구사항 자동 생성 프로세스

  • Young Yun Baek (Dept. of Software Science Dankook University) ;
  • Soo Jin Park (Graduate School of Management of Technology, Sogang University) ;
  • Young Bum Park (Dept. of Software Science Dankook University)
  • 백영윤 (단국대학교 소프트웨어학과) ;
  • 박수진 (서강대학교 기술경영전문대학원) ;
  • 박용범 (단국대학교 소프트웨어학과)
  • Received : 2023.03.06
  • Accepted : 2023.03.16
  • Published : 2023.03.31
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Abstract

In software engineering, requirement analysis is an important task throughout the process and takes up a high proportion. However, factors that fail to analyze requirements include communication failure, different understanding of the meaning of requirements, and failure to perform requirements normally. To solve this problem, we derived actors and behaviors using morpheme analysis and BERT algorithms in the Korean requirement document and constructed them as ontologies. A chatbot system with ontology data is constructed to derive a final system event list through Q&A with users. The chatbot system generates the derived system event list as a requirement diagram and a requirement specification and provides it to the user. Through the above system, diagrams and specifications with a level of coverage complied with Korean requirement documents were created.

Keywords

Acknowledgement

이 논문은 2023년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임(2021-0-00177).

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