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Annex 1  
5.9.2.2 Model of Error Seeding  

  Modell der Fehlereinstreuung

Contents  
  • 1 Identification/Definition of the Method
  • 2 Brief Characteristic of the Method
  • 3 Literature
  • 1 Identification/Definition of the Method

    /Dunn, 1984/

    2 Brief Characteristic of the Method

    In the model of Error Seeding, a predefined number of artificially generated errors is "sown" in the program code. After that, test runs are used to detect the errors and to examine the ratio between actual and artificial errors based on the total number of detected errors. Naturally, the artificially generated errors are not known to the testers. In a first approach, the number of undetected errors can be estimated as follows:

    FU = FG (FE / FEG)

    where FU = number of undetected errors
      FG = number of not seeded errors detected
      FE = number of seeded errors
      FEG = number of seeded errors detected

    3 Literature

    /Dunn, 1984/ description of the model
    /Goel, 1985/ brief description of the model

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