DocumentCode :
1900216
Title :
Prediction of project problem effects on software risk factors
Author :
Cingiz, M. Ozgur ; Unudulmaz, Ahmet ; Kalipsiz, Oya
Author_Institution :
Comput. Eng. Dept., Yildiz Tech. Univ., İstanbul, Turkey
fYear :
2013
fDate :
22-24 Sept. 2013
Firstpage :
57
Lastpage :
61
Abstract :
Software risks can be defined as uncertainty and loss in project process. Software risk management consists of risk identification, estimation, refinement, mitigation, monitoring and maintenance steps. In our study we focus on prediction of project problem effects that can cause loss in software project in terms of their values on risk factors and also we want to rank our risk factors to observe how they can give detail about project problem effects separately. For these purpose five classification methods for prediction of problem impact and two filter feature selection methods for ranking importance of risk factors are used in this study.
Keywords :
pattern classification; project management; risk analysis; software maintenance; software management; system monitoring; classification methods; feature selection methods; project problem effect prediction; project process; risk estimation step; risk identification step; risk maintenance step; risk mitigation step; risk monitoring step; risk refinement step; software risk analysis; software risk factors; software risk management; Capability maturity model; Companies; Neural networks; Predictive models; Risk management; Software; Support vector machines; risk impact prediction; software risk management; software risk ranking; sofware risk analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Software Methodologies, Tools and Techniques (SoMeT), 2013 IEEE 12th International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-0419-8
Type :
conf
DOI :
10.1109/SoMeT.2013.6645641
Filename :
6645641
Link To Document :
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