Research on Optimizing Software Project Process Based Risk Control Method

Author

Jin, Ke-yin

Author_Institution

Sch. of Comput., Hunan Univ. of Technol., Zhuzhou

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

119

Lastpage

124

Abstract

This paper presents a new approach for assessing and optimizing software project process based on software risk control, which evaluates and optimizes software project process from the view of controlling the software project risks. This paper gives a model for optimizing software risk control is given and a discrete optimization algorithm based on dynamic programming together with an example of using above method to solve a problem. By improving the old passive post-project control into an active effective pre-action, this new method can greatly promote the possibility of success of software projects

Keywords

dynamic programming; project management; risk management; software development management; software process improvement; discrete optimization algorithm; dynamic programming; passive post-project control; software project process optimization; software project risk control; Capability maturity model; Coordinate measuring machines; Databases; Design optimization; Dynamic programming; Heuristic algorithms; Optimization methods; Process control; Project management; Risk analysis; Risk management; Software algorithms; Software engineering; Software risk; project management; risk control; software process;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258882

Filename

4028043