Evaluation of standard reliability growth models in the context of automotive software systems
Paper i proceeding, 2013

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 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.


Rakesh Rana

Göteborgs universitet

Miroslaw Staron

Göteborgs universitet

Christian Berger

Göteborgs universitet

Jörgen Hansson

Chalmers, Data- och informationsteknik, Software Engineering

Martin Nilsson

Volvo Cars

Fredrik Törner

Volvo Cars

Niklas Mellegård

Chalmers, Data- och informationsteknik, Software Engineering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 7983 324-329


Inbäddad systemteknik






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