• DocumentCode
    2871453
  • Title

    Statistical testing for cleanroom software engineering

  • Author

    Whittaker, James A. ; Poore, J.H.

  • Author_Institution
    Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA
  • Volume
    ii
  • fYear
    1992
  • fDate
    7-10 Jan 1992
  • Firstpage
    428
  • Abstract
    Cleanroom software engineering requires statistical testing by an independent agent for the purpose of certifying software quality. Statistical software testing is a formal process that involves sampling from the intended usage environment and the precise measurement of properties of random variables inherent in such a statistical experiment. The first step in conducting a statistical test is to determine the usage distribution for the software in its intended environment. This distribution is the basis for a random generator of test sequences for the software. In order to achieve this distribution, a usage analysis is performed using the software specification and any available usage information. The usage analysis consists of a top down, structural investigation of the specification document that establishes a set of usage states and defines an ordering on this set. The paper describes in detail the usage analysis and inference procedure including various computations on the ensuing Markov chains. Stopping criteria are developed and a discrete software reliability model is presented
  • Keywords
    program testing; software reliability; statistical analysis; cleanroom software engineering; random generator; software quality; software reliability model; software specification; statistical testing; test sequences; usage analysis; usage distribution; Information analysis; Performance analysis; Random variables; Sampling methods; Software engineering; Software measurement; Software performance; Software quality; Software testing; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1992. Proceedings of the Twenty-Fifth Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • Print_ISBN
    0-8186-2420-5
  • Type

    conf

  • DOI
    10.1109/HICSS.1992.183256
  • Filename
    183256