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Evaluation of Standard Reliability Growth Models in the Context of Automotive Software Systems

  • Rakesh Rana
  • Miroslaw Staron
  • Niklas Mellegård
  • Christian Berger
  • Jörgen Hansson
  • Martin Nilsson
  • Fredrik Törner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7983)

Abstract

Reliability and dependability of software in modern cars is of utmost importance. Predicting these properties for software under development is therefore important for modern car OEMs, and using reliability growth models (e.g. Rayleigh, Goel-Okumoto) is one approach. In this paper we evaluate a number of standard reliability growth models on a real software system from automotive industry. The results of the evaluation show that models can be fitted well with defect inflow data, but certain parameters need to be adjusted manually in order to predict reliability more precisely in the late test phases. In this paper we provide recommendations for how to adjust the models and how the adjustments should be used in the development process of software in the automotive domain by investigating data from an industrial project.

Keywords

Software Reliability Automotive Sector Software Reliability Growth Model Software Reliability Model Automotive Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Rakesh Rana
    • 1
  • Miroslaw Staron
    • 1
  • Niklas Mellegård
    • 1
  • Christian Berger
    • 1
  • Jörgen Hansson
    • 1
  • Martin Nilsson
    • 2
  • Fredrik Törner
    • 2
  1. 1.Chalmers/ University of GothenburgSweden
  2. 2.Volvo Car CorporationSweden

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