Department of Computer Application & Information Technology, S.G.R.R. University, Dehradun, Uttrakhand, India.
Department of Computer Science, University of Bristol, Bristol, United Kingdom.
Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttrakhand, India.
Department of Mathematics; Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttrakhand, India.
Mahesh K. Sharma
Department of Computer Application & Information Technology, Amrapali Institute, Haldwani, Uttrakhand, India.
Reliability of a software or system is the probability of system to perform its functions adequately for the stated time period under specific environment conditions. In case of component-based software development reliability estimation is a crucial factor. Existing reliability estimation model falls into two broad categories parametric and non-parametric models. Parametric models approximate the model parameters based on the assumptions of fundamental distributions. Non-parametric models enable parameter estimation of the software reliability growth models without any assumptions. We have proposed a novel non-parametric approach for survival analysis of components. Failure data is collected based on which we have calculated failure rate and reliability of the software. Failure rate increases with the time whereas reliability decreases with the time.
Keywords- Component-based software, Failure, Survival analysis, Non-parametric method, Reliability.
Chopra, S., Nautiyal, L., Malik, P., Ram, M., & Sharma, M. K. (2020). A Non-Parametric Approach for Survival Analysis of Component-Based Software. International Journal of Mathematical, Engineering and Management Sciences, 5(2), 309-318. https://doi.org/10.33889/IJMEMS.2020.5.2.025.
Conflict of Interest
All authors have contributed equally in this work. The authors declare that there is no conflict of interest for this publication.
The authors would like to thank all participants in the proposal for their active and valuable responses.
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