An intelligent model for software project risk prediction

Yong Hu; Xiangzhou Zhang; Xin Sun; Mei Liu; Jianfeng Du

doi:10.1109/ICIII.2009.157

An intelligent model for software project risk prediction

Yong Hu^*
, Xiangzhou Zhang
, Xin Sun
, Mei Liu
, Jianfeng Du

^*此作品的通讯作者

Guangdong University of Foreign Studies

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

24 引用（Scopus）

摘要

Software project development is a risky process with high failure rate. This paper proposes an intelligent model that can predict and control software development risks from an overall project perspective rather than focusing only on the single factor, project output. In this study, we first constructed a formal model for risk identification, and then collected actual cases from software development companies to build a risk prediction model. In order to evaluate the performance of our model, two machine learning algorithms, Artificial Neural Networks (ANN) and Support Vector Machine (SVM), are compared. The experiments show that our risk prediction model based on SVM achieves better performance in prediction.

源语言	英语
主期刊名	2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009
页	629-632
页数	4
DOI	https://doi.org/10.1109/ICIII.2009.157
出版状态	已出版 - 2009
已对外发布	是
活动	2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009 - Xi'an, 中国期限: 26 12月 2009 → 27 12月 2009

丛书

姓名	2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009
卷	1

会议

会议	2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009
国家/地区	中国
市	Xi'an
时期	26/12/09 → 27/12/09

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 9 产业、创新和基础设施

访问文件

10.1109/ICIII.2009.157

其它文件与链接

链接到 Scopus 的出版物

引用此

Hu, Y., Zhang, X., Sun, X., Liu, M., & Du, J. (2009). An intelligent model for software project risk prediction. 在 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009 (页码 629-632). 期刊论文 5368175 (2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009; 卷 1). https://doi.org/10.1109/ICIII.2009.157

@inproceedings{3c00a547ab7545b6a11153221ec00eca,

title = "An intelligent model for software project risk prediction",

abstract = "Software project development is a risky process with high failure rate. This paper proposes an intelligent model that can predict and control software development risks from an overall project perspective rather than focusing only on the single factor, project output. In this study, we first constructed a formal model for risk identification, and then collected actual cases from software development companies to build a risk prediction model. In order to evaluate the performance of our model, two machine learning algorithms, Artificial Neural Networks (ANN) and Support Vector Machine (SVM), are compared. The experiments show that our risk prediction model based on SVM achieves better performance in prediction.",

keywords = "Neural network, Prediction, Software engineering, Software project risk, Support vector machine",

author = "Yong Hu and Xiangzhou Zhang and Xin Sun and Mei Liu and Jianfeng Du",

year = "2009",

doi = "10.1109/ICIII.2009.157",

language = "English",

isbn = "9780769538761",

series = "2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009",

pages = "629--632",

booktitle = "2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009",

note = "2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009 ; Conference date: 26-12-2009 Through 27-12-2009",

}

Hu, Y, Zhang, X, Sun, X, Liu, M & Du, J 2009, An intelligent model for software project risk prediction. 在 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009., 5368175, 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009, 卷 1, 页码 629-632, 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009, Xi'an, 中国, 26/12/09. https://doi.org/10.1109/ICIII.2009.157

An intelligent model for software project risk prediction. / Hu, Yong; Zhang, Xiangzhou; Sun, Xin 等.
2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009. 2009. 页码 629-632 5368175 (2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009; 卷 1).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - An intelligent model for software project risk prediction

AU - Hu, Yong

AU - Zhang, Xiangzhou

AU - Sun, Xin

AU - Liu, Mei

AU - Du, Jianfeng

PY - 2009

Y1 - 2009

N2 - Software project development is a risky process with high failure rate. This paper proposes an intelligent model that can predict and control software development risks from an overall project perspective rather than focusing only on the single factor, project output. In this study, we first constructed a formal model for risk identification, and then collected actual cases from software development companies to build a risk prediction model. In order to evaluate the performance of our model, two machine learning algorithms, Artificial Neural Networks (ANN) and Support Vector Machine (SVM), are compared. The experiments show that our risk prediction model based on SVM achieves better performance in prediction.

AB - Software project development is a risky process with high failure rate. This paper proposes an intelligent model that can predict and control software development risks from an overall project perspective rather than focusing only on the single factor, project output. In this study, we first constructed a formal model for risk identification, and then collected actual cases from software development companies to build a risk prediction model. In order to evaluate the performance of our model, two machine learning algorithms, Artificial Neural Networks (ANN) and Support Vector Machine (SVM), are compared. The experiments show that our risk prediction model based on SVM achieves better performance in prediction.

KW - Neural network

KW - Prediction

KW - Software engineering

KW - Software project risk

KW - Support vector machine

UR - https://www.scopus.com/pages/publications/77649332307

U2 - 10.1109/ICIII.2009.157

DO - 10.1109/ICIII.2009.157

M3 - Conference contribution

AN - SCOPUS:77649332307

SN - 9780769538761

T3 - 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009

SP - 629

EP - 632

BT - 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009

T2 - 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009

Y2 - 26 December 2009 through 27 December 2009

ER -

Hu Y, Zhang X, Sun X, Liu M, Du J. An intelligent model for software project risk prediction. 在 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009. 2009. 页码 629-632. 5368175. (2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009). doi: 10.1109/ICIII.2009.157

An intelligent model for software project risk prediction

摘要

丛书

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此