• DocumentCode
    2100549
  • Title

    Design reliability-estimation through statistical analysis of bug discovery data

  • Author

    Malka, Yossi ; Ziv, Avi

  • Author_Institution
    MATAM, IBM Res. Lab., Haifa, Israel
  • fYear
    1998
  • fDate
    19-19 June 1998
  • Firstpage
    644
  • Lastpage
    649
  • Abstract
    Statistical analysis of bug discovery data is used in the software industry to check the quality of the testing process and estimate the reliability of the tested program. In this paper, we show that the same techniques are applicable to hardware design verification. We performed a study on two implementations of state-of-the-art PowerPC processors that shows that these techniques can provide quality information on the progress of verification and good predictions of the number of bugs left in the design and the future MTTF.
  • Keywords
    formal verification; software reliability; bug discovery data; design reliability; reliability; software industry; statistical analysis; verification; Automatic programming; Computational modeling; Computer bugs; Costs; Hardware; Investments; Permission; Process design; Statistical analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 1998. Proceedings
  • Conference_Location
    San Francisco, CA, USA
  • Print_ISBN
    0-89791-964-5
  • Type

    conf

  • Filename
    724550