Recalibrating Software Reliability Models

  • Authors:

  • Sarah Brocklehurst;P. Y. Chan;Bev Littlewood;John Snell

  • Affiliations:

  • City Univ., London, UK;City Univ., London, UK;City Univ., London, UK;City Univ., London, UK

  • Venue:
  • IEEE Transactions on Software Engineering
  • Year:
  • 1990

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Abstract

There is no universally applicable software reliability growth model which can be trusted to give accurate predictions of reliability in all circumstances. A technique of analyzing predictive accuracy called the u-plot allows a user to estimate the relationship between the predicted reliability and the true reliability. It is shown how this can be used to improve reliability predictions in a very general way by a process of recalibration. Simulation results show that the technique gives improved reliability predictions in a large proportion of cases. However, a user does not need to trust the efficacy of recalibration, since the new reliability estimates produced by the technique are truly predictive and their accuracy in a particular application can be judged using the earlier methods. The generality of this approach suggests its use whenever a software reliability model is used. Indeed, although this work arose from the need to address the poor performance of software reliability models, it is likely to have applicability in other areas such as reliability growth modeling for hardware.