DocumentCode
2551535
Title
A method for software project risk identification based on GA
Author
Feng, Nan ; Xie, Jing
Author_Institution
Sch. of Manage., Tianjin Univ., Tianjin, China
fYear
2009
fDate
21-23 Oct. 2009
Firstpage
618
Lastpage
621
Abstract
A software project risk identification process based on Genetic Algorithms (GA) is presented in this paper. The risk identification process utilizes GA to search the rules of risk identification based on historical data in software project in order to identify the risks in the process of software project development. The application process of GA in risk identification is analyzed in the paper. Finally, the validity of risk identification process is proved using an example.
Keywords
genetic algorithms; project management; risk management; software development management; software management; genetic algorithm; historical data; software project development; software project risk identification process; Application software; Costs; Databases; Genetic algorithms; Large-scale systems; Process control; Project management; Risk analysis; Risk management; Uncertainty; Genetic Algorithms (GA); risk identification; software project;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3671-2
Electronic_ISBN
978-1-4244-3672-9
Type
conf
DOI
10.1109/ICIEEM.2009.5344515
Filename
5344515
Link To Document