Feature Extraction from Japanese Natural Language Requirements Documents for Software Product Line Engineering

Kenji Hisazumi, Yuedong Xiao, Akira Fukuda

研究成果: Conference contribution

抄録

Analyzing and extracting features from requirement specifications is an indispensable activity to support Software Product Line Engineering. However, performing features extraction is a time-consuming and inefficient task, since massive textual requirements need to be analyzed and classified. Most of the current approaches exhibited limitations: hindered applicability with requirements in Japanese; the support tools proposed were not made available publicly and thus making it hard for practitioners' adoption. This paper proposes a feature extraction approach from requirement specifications in Japanese using natural language processing techniques. Also, we propose a ranking method for extracted features to reduce efforts reviewing feature candidates. A case study was conducted to evaluate the performance of the proposed approach. Initial results show that 90.7% features were extracted correctly, and the top 40% features extracted contained 79.1% true features.

本文言語English
ホスト出版物のタイトルProceedings - Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ322-329
ページ数8
ISBN(電子版)9781728139258
DOI
出版ステータスPublished - 2019 7月
外部発表はい
イベント19th IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2019 - Sofia, Bulgaria
継続期間: 2019 7月 222019 7月 26

出版物シリーズ

名前Proceedings - Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019

Conference

Conference19th IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2019
国/地域Bulgaria
CitySofia
Period19/7/2219/7/26

ASJC Scopus subject areas

  • 安全性、リスク、信頼性、品質管理
  • 法学
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • ソフトウェア

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