• DocumentCode
    3699164
  • Title

    Software reliability growth model with fault detection effort and removing effort modeling separately

  • Author

    Wu Caihua;Ma Jianchao;Wang Xiaowei;Liu Juntao

  • Author_Institution
    Huang Pi NCO School Air Force Early-warning Academy, Wuhan, hubei province, China
  • fYear
    2015
  • Firstpage
    441
  • Lastpage
    444
  • Abstract
    Constructing software reliability growth model (SRGM) is an important method to evaluate software reliability. The common SRGMs usually assume that software faults are removed immediately when are detected. And new faults aren´t introduced. It is not the truth. In this paper, a new SRGM is presented. The correlation of software faults detection process and the removing process are considered, and testing effort is divided into detection effort and removing effort, and modeled separately. Compared with other models, it is showed the presented model has best fitting capability and predicting capability by the fitting and predicting experiments on the two data sets.
  • Keywords
    "Data models","Predictive models","Software","Software reliability","Testing","Mathematical model","Fitting"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-8352-0
  • Electronic_ISBN
    2327-0594
  • Type

    conf

  • DOI
    10.1109/ICSESS.2015.7339092
  • Filename
    7339092