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Annex 1  
5.9 Category of Methods "Reliability Models" (RELM)  

  ZUVM - Zuverlässigkeitsmodelle

Contents  
  • 5.9.1 Overview
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  • 5.9.2 Individual Descriptions
  • 5.9.2.1 Statistic Models
  • 5.9.2.1.1 Model by Goel and Okumoto
  • 5.9.2.1.2 Execution Time Model by Musa
  • 5.9.2.1.3 Logarithmic Poisson Execution Time Model by Musa and Okumoto
  • 5.9.2.1.4 Jelinski-Moranda Model
  • 5.9.2.1.5 Model by Schick and Wolverton
  • 5.9.2.2 Model of Error Seeding
  • 5.9.1 Overview

    Historically, Reliability Models were first applied in the hardware sector. By now, however, they are increasingly being transferred to software as well. Contrary to hardware, the reliability considerations connected with aging and wear out failures are not important for software. In the software sector, decreasing reliability is usually due to faults in connection with software generation. Just like aging and wear out failures, the effects of such faults cannot be predicted.

    Reliability Models can be classified as follows:

    The various approaches are better described in the individual descriptions. The selection of a reliability model must be individually realized for each project.

    5.9.2 Individual Descriptions

    Next, some frequently applied reliability models are listed. A detailed description of the models is not possible within the scope of ANNEX 1.

    5.9.2.1 Statistic Models
         5.9.2.1.1 Model by Goel and Okumoto
         5.9.2.1.2 Execution Time Model by Musa
         5.9.2.1.3 Logarithmic Poisson Execution Time Model by Musa and Okumoto
         5.9.2.1.4 Jelinski-Moranda Model
         5.9.2.1.5 Model by Schick and Wolverton
    5.9.2.2 Model of Error Seeding

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