• 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