DocumentCode :
2885465
Title :
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
Link To Document :
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