DocumentCode :
3482687
Title :
Software project risk assessment model based on fuzzy theory
Author :
Ai-Guo Tang ; Ru-long Wang
Author_Institution :
Coll. of Comput. & Electron. Eng., Hunan Univ. of Commerce, Changsha, China
Volume :
2
fYear :
2010
fDate :
12-13 June 2010
Firstpage :
328
Lastpage :
330
Abstract :
Many uncertainties always exist in the development and management process of software project, the awareness and ability of software project risk management must be strengthened, in order to effectively prevent the occurrence of the failure of it. In this paper, on the basis of the analysis of the software project risk management process, a model based on fuzzy theory in software project risk assessment is provided. Using the fuzzy language to assess the consequences and the loss of the risk, the model can measure a combination of impact of a certain risk from a variety of risk and the combined effects of the overall consequences from individual risk, which resolves the uncertainty of expert assessment, enhances the prediction and response capabilities of the software project risk and provide a new way to effectively reduce the risk probability and increase the rate of the success of the software development.
Keywords :
fuzzy set theory; management information systems; probability; project management; risk management; software management; expert assessment; fuzzy language; fuzzy theory; risk management; software development; software project management process; software project risk assessment model; Bayesian methods; Software; Software reliability; fuzzy theory; risk assessment; risk management; software project;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
Type :
conf
DOI :
10.1109/CCTAE.2010.5544587
Filename :
5544587
Link To Document :
بازگشت