Software Reliability Model with Dependent Failures and SPRT

Da Hye Lee, In Hong Chang and Hoang Pham
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Da Hye Lee: Department of Computer Science and Statistics, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea
In Hong Chang: Department of Computer Science and Statistics, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea
Hoang Pham: Department of Industrial and Systems Engineering, Rutgers University, 96 Frelinghuysen Road, Piscataway, NJ 08855-8018, USA

Mathematics, 2020, vol. 8, issue 8, 1-14

Abstract: Software reliability and quality are crucial in several fields. Related studies have focused on software reliability growth models (SRGMs). Herein, we propose a new SRGM that assumes interdependent software failures. We conduct experiments on real-world datasets to compare the goodness-of-fit of the proposed model with the results of previous nonhomogeneous Poisson process SRGMs using several evaluation criteria. In addition, we determine software reliability using Wald’s sequential probability ratio test (SPRT), which is more efficient than the classical hypothesis test (the latter requires substantially more data and time because the test is performed only after data collection is completed). The experimental results demonstrate the superiority of the proposed model and the effectiveness of the SPRT.

Keywords: software reliability; sequential probability ratio test; non-homogeneous Poisson process (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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