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Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System

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Abstract

Software quality has become a key aspect of any electronic system. In this respect, software reliability is an important quality characteristic and there are many models that aim to estimate the reliability from different perspectives. However, there are no industry established reliability models. There is need to estimate which reliability model has the best performance. In this study several reliability models are analyzed by a soft computing approach, called adaptive neuro-fuzzy inference system (neuro-fuzzy), in order to estimate the models’ capability based on root mean square errors (RMSE). Various aspects of accuracy of some of the well-known software reliability models have been used in this work. According to the results Non-Homogeneous Poisson Process Model (NHPP) is the best software reliability model. A combination of Linear Littlewood-Verall (LV) and NHPP is the optimal combination of two software reliability models. In other words, the best results could be achieved if one combines the LV and NHPP models.

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Data Availability

Data available on request from the authors.

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Acknowledgements

This paper presents the results of the research conducted within the project "Research and development of new generation machine systems in the function of the technological development of Serbia" funded by the Faculty of Mechanical Engineering, University of Niš, Serbia.

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Authors and Affiliations

  1. University of Nis, Faculty of Mechanical Engineering, Aleksandra Medvedeva 14, 18000, Nis, Serbia

    Milos Milovancevic

  2. St. Kliment Ohridski University of Sofia, Faculty of Mathematics and Informatics, Sofia, Bulgaria

    Aleksandar Dimov & Kamen Boyanov Spasov

  3. University of Nis, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, 18000, Nis, Serbia

    Ljubomir Vračar

  4. Business and Law Faculty, Belgrade, Serbia

    Miroslav Planić

Authors
  1. Milos Milovancevic
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  2. Aleksandar Dimov
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  4. Ljubomir Vračar
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  5. Miroslav Planić
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Correspondence to Milos Milovancevic.

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Milovancevic, M., Dimov, A., Spasov, K.B. et al. Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System. J Electron Test 37, 439–452 (2021). https://doi.org/10.1007/s10836-021-05964-y

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