• DocumentCode
    1832088
  • Title

    Mining software repositories to acquire software risk knowledge

  • Author

    Ching-Pao Chang

  • Author_Institution
    Dept. of Inf. Eng., Kun Shan Univ., Tainan, Taiwan
  • fYear
    2013
  • fDate
    14-16 Aug. 2013
  • Firstpage
    489
  • Lastpage
    496
  • Abstract
    Knowing and managing the software risks are important for software project management. The information collected from past projects can be used to obtain the knowledge of the software risk. The challenge to acquire the knowledge of software risk is that the software development environment is complex and contains large amount factors that may affect the software projects. This study proposes an approach that applies data mining techniques on the data collected from historic software projects to acquire software risk knowledge. The obtained software risk knowledge can be used to facilitate software project management. The advantage of the proposed approach is that the software risk knowledge can be acquired automatically according to the selected attributes. The proposed approach is applied on a business project to demonstrate how the software risk knowledge can be acquired.
  • Keywords
    data mining; project management; risk management; software development management; data mining technique; historic software projects; software development environment; software project management; software repository mining; software risk knowledge acquisition; software risk management; Data mining; Data models; Itemsets; Knowledge acquisition; Predictive models; Risk management; Software; Data Mining; Knowledge Acquisition; Software Process; Software Risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1109/IRI.2013.6642510
  • Filename
    6642510