• DocumentCode
    2973450
  • Title

    Reliability analysis methods for an open source software with their comparison of goodness-of-fit

  • Author

    Tamura, Yoshinobu ; Yamada, Shigeru

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Yamaguchi Univ., Ube, Japan
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    208
  • Lastpage
    212
  • Abstract
    An open source software serves as key components of critical infrastructures in the social life. We focus on the quality problems of open source software developed under the open source project. In case of considering the effect of the debugging process on an entire system in the development of a method of reliability assessment for the open source project, it is necessary to grasp the deeply-intertwined factors, such as programming path, size of each component, skill of fault reporters, etc. We propose a new approach to reliability assessment for open source software. Also, we analyze actual software fault-count data to show numerical examples of software reliability assessment for the open source software. Moreover, we compare the proposed method based on chaos theory with the conventional software reliability growth models for open source software by using several comparison criteria of goodness-of-fit.
  • Keywords
    data analysis; program debugging; project management; public domain software; software quality; software reliability; debugging process; open source project reliability assessment; open source software; reliability analysis methods; software fault-count data analysis; software quality problem; software reliability assessment; software reliability growth models; Chaos; Debugging; Linux; Open source software; Operating systems; Programming; Quality management; Reliability engineering; Software reliability; Software systems; Reliability analysis; chaos theory; open source software; software reliability growth model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373385
  • Filename
    5373385