An Assessment of Incorporating Log-Logistic Testing Effort Into Imperfect Debugging Delayed S-Shaped Software Reliability Growth Model | IGI Global Scientific Publishing
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An Assessment of Incorporating Log-Logistic Testing Effort Into Imperfect Debugging Delayed S-Shaped Software Reliability Growth Model

An Assessment of Incorporating Log-Logistic Testing Effort Into Imperfect Debugging Delayed S-Shaped Software Reliability Growth Model

Nesar Ahmad (T. M. Bhagalpur Unversity, India), Aijaz Ahmad (T. M. Bhagalpur University, India), and Sheikh Umar Farooq (University of Kashmir, India)
Copyright: © 2021 |Volume: 9 |Issue: 3 |Pages: 19
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781799862789|DOI: 10.4018/IJSI.2021070102
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MLA

Ahmad, Nesar, et al. "An Assessment of Incorporating Log-Logistic Testing Effort Into Imperfect Debugging Delayed S-Shaped Software Reliability Growth Model." IJSI vol.9, no.3 2021: pp.23-41. https://doi.org/10.4018/IJSI.2021070102

APA

Ahmad, N., Ahmad, A., & Farooq, S. U. (2021). An Assessment of Incorporating Log-Logistic Testing Effort Into Imperfect Debugging Delayed S-Shaped Software Reliability Growth Model. International Journal of Software Innovation (IJSI), 9(3), 23-41. https://doi.org/10.4018/IJSI.2021070102

Chicago

Ahmad, Nesar, Aijaz Ahmad, and Sheikh Umar Farooq. "An Assessment of Incorporating Log-Logistic Testing Effort Into Imperfect Debugging Delayed S-Shaped Software Reliability Growth Model," International Journal of Software Innovation (IJSI) 9, no.3: 23-41. https://doi.org/10.4018/IJSI.2021070102

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Abstract

Software reliability growth models (SRGM) are employed to aid us in predicting and estimating reliability in the software development process. Many SRGM proposed in the past claim to be effective over previous models. While some earlier research had raised concern regarding use of delayed S-shaped SRGM, researchers later indicated that the model performs well when appropriate testing-effort function (TEF) is used. This paper proposes and evaluates an approach to incorporate the log-logistic (LL) testing-effort function into delayed S-shaped SRGMs with imperfect debugging based on non-homogeneous Poisson process (NHPP). The model parameters are estimated by weighted least square estimation (WLSE) and maximum likelihood estimation (MLE) methods. The experimental results obtained after applying the model on real data sets and statistical methods for analysis are presented. The results obtained suggest that performance of the proposed model is better than the other existing models. The authors can conclude that the log-logistic TEF is appropriate for incorporating into delayed S-shaped software reliability growth models.

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