A non-parametric approach for survival analysis of component-based software

Sandeep Chopra, Lata Nautiyal*, Preeti Malik, Mangey Ram, Mahesh K. Sharma

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

5 Citations (Scopus)
105 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)309-318
Number of pages10
JournalInternational Journal of Mathematical, Engineering and Management Sciences
Issue number2
Publication statusPublished - Apr 2020


  • Component-based software
  • Failure
  • Non-parametric method
  • Reliability
  • Survival analysis


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