• DocumentCode
    2649997
  • Title

    Evaluation of software testing process based on Bayesian networks

  • Author

    Han, Laping

  • Author_Institution
    Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Abstract
    In this paper, we will introduce a Bayesian networks (BN) approach for probability evaluation method of software quality assurance. Then, we will present a method for transforming Fault Tree Analysis (FTA) to Bayesian networks and build an evaluation model based on Bayesian networks. Bayesian networks can perform forward risk prediction and backward diagnosis analysis by deduction on the model. Finally, we will illustrate the rationality and validity of the Bayesian networks through an example of evaluation of software testing process.
  • Keywords
    belief networks; program testing; trees (mathematics); Bayesian networks; backward diagnosis analysis; fault tree analysis; forward risk prediction; software testing process; Artificial intelligence; Bayesian methods; Computer network management; Fault trees; Graphics; Performance analysis; Probability distribution; Random variables; Software quality; Software testing; Bayesian networks; Fault Tree Analysis; Software testing Probability evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6347-3
  • Type

    conf

  • DOI
    10.1109/ICCET.2010.5485469
  • Filename
    5485469