Outcome prediction of software projects for information technology vendors

T. Kawamura, Tetsuya Toma, Ken'ichi Takano

研究成果: Conference contribution

抄録

Several studies indicate that roughly 70% of the projects based on the software development have resulted in failure, thereby researchers and practitioners have been tried to develop solutions that will improve project success rates. It is insisted that to raise success rates, support should be provided by the organization to which the projects belong. With the aid of predictions that incorporate project outcomes for various information technology (IT) vendors, this study aims at identifying projects that should be preferentially supported by an organization. The data of 332 projects of various Japanese IT vendors were collected using an Internet survey, and a success/failure prediction algorithm is created by employing the Bayes classifier technique on the collected data. A resultant algorithm with 77.3% prediction capability was obtained. It is expected that the success/failure prediction procedure, including the prediction algorithm, help significantly to specify projects that an organization needs to participate in as priority.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
出版社IEEE Computer Society
ページ1733-1737
ページ数5
2017-December
ISBN(電子版)9781538609484
DOI
出版ステータスPublished - 2018 2 9
イベント2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore
継続期間: 2017 12 102017 12 13

Other

Other2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
国/地域Singapore
CitySingapore
Period17/12/1017/12/13

ASJC Scopus subject areas

  • ビジネス、管理および会計(その他)
  • 産業および生産工学
  • 安全性、リスク、信頼性、品質管理

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