Analyzing risk factors affecting project cost overrun

Masateru Tsunoda, Akito Monden, Kenichi Matsumoto, Ryosuke Hatano, Toshihiko Nakano, Yutaka Fukuchi

研究成果

抄録

To prevent cost overrun of software projects, it is effective to predict the project which has high risk of cost overrun in the early phase of the project. In this paper, we clarify the risk factors which affect cost overrun. The risk factors are denoted by the questions such as Are the customer's project goals clear? The risk factors can be used as independent variables of the cost overrun prediction model. In the analysis, we used 290 projects' data collected in a software development company. The dataset was stratified by the project start time and the project size to eliminate their influence, and relationships between risk factors and cost overrun were analyzed with the correlation ratio. In addition, we focused risk factors which have strong and stable relationships to cost overrun, and analyzed them using the Sharpe ratio based index. As a result, we identified some risk factors which have relatively strong and stable relationships to cost overrun. After the analysis, we experimentally predicted cost overrun projects by collaborative filtering, using the risk factors as independent variables. The result suggested that cost overrun projects can be predicted by the risk factors.

本文言語English
ホスト出版物のタイトルSoftware Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2012
出版社Springer Verlag
ページ171-184
ページ数14
ISBN(印刷版)9783642321719
DOI
出版ステータスPublished - 2013
外部発表はい

出版物シリーズ

名前Studies in Computational Intelligence
443
ISSN(印刷版)1860-949X

ASJC Scopus subject areas

  • 人工知能

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