Framework and Value-Driven Process of Software Engineering for Business and Society (SE4BS)

Hironori Washizaki*, Junzo Hagimoto, Kazuo Hamai, Mitsunori Seki, Takeshi Inoue, Shinya Taniguchi, Hiroshi Kobayashi, Kenji Hiranabe, Eiichi Hanyuda

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper proposes a framework and a value-driven process for new software engineering, named 'Software Engineering for Business and Society: SE4BS', towards the digital transformation (DX) era. Successful DX requires not only technology, but also an understanding of the importance of business agility. In addition, without careful traceability, software engineering projects can be not based on business and social values. To address these issues, we categorize useful methods, practices, and models in software development and operations that make connections and traceability from business ideas incorporating business agility to software products, services, and user experiences. Then we propose a typical value-driven process stemming from business and social perspectives as new software engineering necessary for the DX era. We also categorized these items of the value-driven process through the mental factors of cognition, affective, and conative to analyze the process.

本文言語English
ホスト出版物のタイトルProceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
編集者Tokuro Matsuo, Kunihiko Takamatsu, Yuichi Ono, Sachio Hirokawa
出版社Institute of Electrical and Electronics Engineers Inc.
ページ701-706
ページ数6
ISBN(電子版)9781728173979
DOI
出版ステータスPublished - 2020 9月
イベント9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020 - Kitakyushu, Japan
継続期間: 2020 9月 12020 9月 15

出版物シリーズ

名前Proceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020

Conference

Conference9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
国/地域Japan
CityKitakyushu
Period20/9/120/9/15

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 情報システムおよび情報管理

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