Kawamura, Tomoyuki

写真a

Affiliation

Graduate School of System Design and Management (Hiyoshi)

Position

Project Associate Professor (Non-tenured)

 

Papers 【 Display / hide

  • Outcome prediction of software projects for information technology vendors

    Kawamura T., Toma T., Takano K.

    IEEE International Conference on Industrial Engineering and Engineering Management (IEEE International Conference on Industrial Engineering and Engineering Management)  2017-December   1733 - 1737 2018.02

    ISSN  9781538609484

     View Summary

    © 2017 IEEE. 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.

Research Projects of Competitive Funds, etc. 【 Display / hide

  • Research on organizational culture that affect promotion of Digital Transformation

    2020.04
    -
    2023.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Early-Career Scientists , Principal investigator

 

Courses Taught 【 Display / hide

  • PROJECT MANAGEMENT

    2022

  • RISK MANAGEMENT OF TECHNOLOGICAL SYSTEMS

    2020

  • RISK MANAGEMENT OF TECHNOLOGICAL SYSTEMS

    2019