Software Reliability Estimation using Yamada delayed S Shaped Model under Imperfect Debugging and Time Lag

Gupta, Ajay Kumar; Choudhary, Digvijay; Saxena, Suneet

doi:10.5120/2985-3792

Cited by 7 publications

(1 citation statement)

References 13 publications

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“…The errors have been classified depending upon their survey. Gupta et al (2011) obtained software reliability estimation using delayed S-shaped model under imperfect debugging and time lag. Ahmed et al (2011) developed an inflation SRGM considering log-logistic testing-effort and imperfect debugging.…”

Section: Nhpp Delayed S-shaped Modelmentioning

confidence: 99%

Analysis of Delayed S Shaped Software Reliability Growth Model with Time Dependent Fault Content Rate Function

Hanagal¹,

Bhalerao²

2021

Journal of Data Science

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Many software reliability growth models based upon a non-homogeneous Poisson process (NHPP) have been proposed to measure and asses the reliability of a software system quantitatively. Generally, the error detection rate and the fault content function during software testing is considered to be dependent on the elapsed time testing. In this paper we have proposed three software reliability growth models (SRGM's) incorporating the notion of error generation over the time as an extension of the delayed S-shaped software reliability growth model based on a non-homogeneous Poisson process (NHPP). The model parameters are estimated using the maximum likelihood method for interval domain data and three data sets are provided to illustrate the estimation technique. The proposed model is compared with the existing delayed S-shaped model based on error sum of squares, mean sum of squares, predictive ratio risk and Akaike's information criteria using three different data sets. We show that the proposed models perform satisfactory better than the existing models.

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Section: Nhpp Delayed S-shaped Modelmentioning

confidence: 99%