A Semi-parametric NHPP-based Software Reliability Modeling with Local Polynomial Debug Rate

Authors

  • Siqiao Li Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Japan
  • Tadashi Dohi Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Japan
  • Hiroyuki Okamura Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Japan

DOI:

https://doi.org/10.13052/jrss0974-8024.15215

Keywords:

Software reliability models, non-homogeneous Poisson processes, semi-parametric approach, local polynomial debug rate, maximum likelihood estimation, goodness-of-fit performance, predictive performance

Abstract

In this paper, we propose a new non-homogeneous Poisson process (NHPP) based software reliability model (SRM), where the software debug rate is given by a local polynomial function. The main feature of this semi-parametric SRM is to control the goodness-of-fit by changing the polynomial degree. Numerical examples with 16 actual software development project data are devoted to comparing our SRM with the well-known existing NHPP-based SRMs in terms of goodness-of-fit and predictive performances.

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Author Biographies

Siqiao Li, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Japan

Siqiao Li received the B.M. degree from Liaoning University of International Business and Economic, China, and the M.E. degree from Hiroshima University, Japan, in 2016 and 2020, respectively. He is currently pursuing the Ph.D. degree with the Graduate School of Advanced Science and Engineering, Hiroshima University, Japan. His research areas include Software Reliability Modeling and Estimation. He is a student member of IEEE, IEICE and ORSJ.

Tadashi Dohi , Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Japan

Tadashi Dohi received the B.E., M.E. and Dr. of Engineering degrees from Hiroshima University, Japan, in 1989, 1991 and 1995, respectively. Since 2002, he has been working as a Full Professor in the Hiroshima University. In 1992 and 2000, he was a Visiting Researcher in the Faculty of Commerce and Business Administration, University of British Columbia, Canada, and the Hudson School of Engineering, Duke University, USA, respectively, on the leave absent from Hiroshima University. He has been appointed as a Vice Dean of the School of Informatics and Data Science, and as a Full Professor in the Graduate School of Advanced Science and Engineering. His research areas include Reliability Engineering, Software Reliability and Dependable Computing. He was the President of Reliability Engineering Association of Japan (REAJ) in 2018–2019. He is a regular member of ORSJ, IEICE, IPSJ, REAJ, and IEEE. He also serves as an Associate Editor of IEEE Transactions on Reliability, among others.

Hiroyuki Okamura, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Japan

Hiroyuki Okamura received the B.E., M.E. and Dr. of Engineering degrees from Hiroshima University, Japan, in 1995, 1997 and 2001, respectively. In 1998 he joined the Hiroshima University as an Assistant Professor, and has been currently working as a Full Professor since 2018. Dr. Okamura was a Visiting Researcher in the Hudson School of Engineering, Duke University, USA, in 2006. His research areas include Performance Evaluation, Software Engineering and Dependable Computing. He is a regular member of ORSJ, IEICE, JSIAM, IPSJ, REAJ, ACM and IEEE. He serves as a member of Editorial Board of Communications in Statistics – Stochastic Models.

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Published

2023-04-06

How to Cite

Li, S. ., Dohi , T. ., & Okamura, H. . (2023). A Semi-parametric NHPP-based Software Reliability Modeling with Local Polynomial Debug Rate. Journal of Reliability and Statistical Studies, 15(02), 759–778. https://doi.org/10.13052/jrss0974-8024.15215

Issue

2022: Vol 15 Iss 2

Section

Articles