Sensitivity Analysis Considering Wiener Processes and Deep Learning for OSS Reliability Assessment

Authors

  • Seidai Okano Yamaguchi University, Japan
  • Yoshinobu Tamura Yamaguchi University, Japan
  • Shigeru Yamada Tottori University, Japan

DOI:

https://doi.org/10.13052/jgeu0975-1416.1412

Keywords:

Reliability assessment, deep learning, open source software, Wiener process

Abstract

The demand of open source software is increasing because of the low cost, high quality, and short delivery. In particular, open source software is managed by using the bug tracking system. This paper focuses on the method of reliability assessment based on the deep learning. Then, the Wiener process is applied to the output value of objective variables. Moreover, several sensitivity analyses of the parameter of Wiener process are shown as several numerical examples.

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Author Biographies

Seidai Okano, Yamaguchi University, Japan

Seidai Okano received the B.S.E. degrees from Yamaguchi University in Japan, in 2024. Since 2024, he has been entered at Yamaguchi University Graduate School, Yamaguchi, Japan. His research interests the reliability assessment method of OSS at Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan.

Yoshinobu Tamura, Yamaguchi University, Japan

Yoshinobu Tamura received the B.S.E., M.S., and Ph.D. degrees from Tottori University in 1998, 2000, and 2003, respectively. From 2003 to 2006, he was a Research Assistant at Tottori University of Environmental Studies. From 2006 to 2009, he was a Lecturer and Associate Professor at Faculty of Applied Information Science of Hiroshima Institute of Technology, Hiroshima, Japan. From 2009 to 2017, he was an Associate Professor at the Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan. From 2017 to 2019, he has been working as a Professor at the Faculty of Knowledge Engineering, Tokyo City University, Tokyo, Japan. Since 2020, he has been working as a Professor at the Faculty of Information Technology, Tokyo City University, Tokyo, Japan. Since 2021, he has been working as a Professor at the Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan. His research interests include reliability assessment for open source software, big data, clouds, reliability. He is a regular member of the Institute of Electronics, the Information and Communication Engineers of Japan, the Operations Research Society of Japan, the Society of Project Management of Japan, the Reliability Engineering Association of Japan, and the IEEE. He has authored the book entitled as OSS Reliability Measurement and Assessment (Springer International Publishing, 2016). Dr. Tamura received the Presentation Award of the Seventh International Conference on Industrial Management in 2004, the IEEE Reliability Society Japan Chapter Awards in 2007, the Research Leadership Award in Area of Reliability from the ICRITO in 2010, the Best Paper Award of the IEEE International Conference on Industrial Engineering and Engineering Management in 2012, the Honorary Professor from Amity University of India in 2017, the Best Paper Award of the 24th ISSAT International Conference on Reliability and Quality in Design in 2018, the Outstanding Paper Award of the IEEE International Conference on Industrial Engineering and Engineering Management in 2022, and the Amity Global Academic Excellence Award of the IEEE 4th International Conference on Intelligent, Engineering & Management in 2023.

Shigeru Yamada, Tottori University, Japan

Shigeru Yamada was born in Hiroshima Prefecture, Japan, on July 6, 1952. He received the B.S.E., M.S., and Ph.D. degrees from Hiroshima University, Japan, in 1975, 1977, and 1985, respectively. From 1993/10 to 2018/3, he had been working as a professor at the Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori-shi, Japan. He is an Emeritus Professor of Tottori University. He has been also a Honorary Professor at Amity University, India, since 2015. His research interests include software reliability engineering, quality management engineering, and project management. He has published over 600 reviewed technical papers in the area of software reliability engineering, project management, reliability engineering, and quality control. He has authored several books entitled such as Introduction to Software Management Model (Kyoritsu Shuppan,1993), Software Reliability Models: Fundamentals and Applications (JUSE, Tokyo, 1994), Statistical Quality Control for TQM (Corona Publishing, Tokyo, 1998), Software Reliability: Model, Tool, Management (The Society of Project Management, 2004), Quality-Oriented Software Management (Morikita Shuppan, 2007), Elements of Software Reliability –Modeling Approach-(Kyoritsu Shuppan, 2011), Project Management (Kyoritsu Shuppan, 2012), Software Engineering – Fundamentals and Applications – (Science, Tokyo, 2013), Software Reliability Modeling: Fundamentals and Applications (Springer-Verlag, Tokyo/Heidelberg, 2014), and OSS Reliability Measurement and Assessment (Springer International Publishing, Switzerland, 2016). Dr. Yamada received the Best Author Award from the Information Processing Society of Japan in 1992, the TELECOM System Technology Award from the Telecommunications Advancement Foundation in 1993, the Best Paper Award from the Reliability Engineering Association of Japan in 1999, the International Leadership Award in Reliability Engg. Research from the ICQRIT/SREQOM in 2003, the Best Paper Award at the 2004 International Computer Symposium, the Best Paper Award from the Society of Project Management in 2006, the Leadership Award from the ISSAT (International Society of Science and Applied Technologies, U.S.A.) in 2007, the Outstanding Paper Award at the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2008) in 2008, the International Leadership and Pioneering Research Award in Software Reliability Engineering from the SREQOM/ICQRIT in 2009, the Exceptional International Leadership and Contribution Award in Software Reliability at the ICRITO’2010, the 2011 Best Paper Award from the IEEE Reliability Society Japan Chapter in 2012, the Leadership Award from the ISSAT in 2014, the Project Management Service Award from the Society of Project Management, “Honorary Canon” Appointment from the Korean Reliability Society in 2014, Title of “Honorary Professor” Recognition from Amity University, India, in 2015, Contribution Award for Promoting OR from the Operations Research Society of Japan in 2017, Research Award for Outstanding Contributions in Software Reliability Engineering from the ISSAT in 2017, Best Paper Award at the ISSAT International Conference on Reliability and Quality in Design in 2018, Society Award from the Society of Project Management in 2020, IEEE Reliability Society Japan Joint Chapter 2020 Reliability Engineering Award in 2021, and Lifetime Achievement Award from the ISSAT in 2025. He is a life member of the IEICE, a life member of the Information Processing Society of Japan, member of the Operations Research Society of Japan (Fellow Member), the Japanese Society for Quality Control, and the Society of Project Management, and the IEEE Life Member. He is also an Honorary Canon of the Korean Reliability Society.

References

S. Yamada and Y. Tamura, A deep learning approach for OSS reliability assessment based on Wiener process-aware data preprocessing, Technical Report of IEICE, Sapporo Electronics Center, Vol. 123, No. 141, pp. 33–38, 28 July. 2023.

S. Yamada, Software Reliability/Safety Assessment, Special Issue on Safety in Advanced Technology, Vol. 33, No. 6, pp. 432–441, 1994.

S. Yamada, S. Inoue and Y. Tamura, Softfair Reliability Research, The Institute of Electronics, Information and Communication Engineers Basic and Association Societies Fundamentals Review, Vol. 12, No. 1, pp. 38–50, July, 2018.

T. Chusho, “Reliability on software,” Reliability Engineering Association of Japan, Vol. 22, No. 5, pp. 367, 2000.

T. Suzuki, “Machine learning overview,” Applied Mathematics, Vol. 28, No. 1, pp. 35, March, 2018.

N. Karunanithi, Y. K. Malaiya, and D. Whitley, “Predictionof software reliability using neural networks,” Proceedings. 2nd International. Symposium. Software. Reliability. Engineering., pp. 124–130, IEEE Computer SocietyPress, 1991.

N. Karunanithi, D. Whitley, and Y. K. Malaiya, “Using neural networks in reliability prediction, ” IEEE Software, vol. 9, pp. 53–59, 1992.

N. Karunanithi , Y. K. Malaiya, “Neural networks for software reliability engineering, ” in Handbook of Software Relia bility Engineering, ed. M. R. Lyu, pp. 699–728, McGraw-Hill, New York, 1996.

Y. Shinohara, M. Imanishi, T. Dohi, and S. Osaki, “Software reliability prediction using neural network technique,” in Proceedings of the Second Australia Japan Workshop onStochastic Models in Engineering, Technology & Manage ment, eds. R. J. Wilson, D.N.P. Murthy, and S. Osaki, pp. 564–571, Technology Management Centre, The University of Queensland, Brisbance, 1996.

S. Yamada, Software Reliability Modeling: Fundamentalsand Applications, Springer–Verlag, Tokyo/Heidelberg, 2014.

P.K. Kapur, H.Pham, A. Gupta, and P.C. Jha. Software Re liability Assessment with OR Applications, Springer-Verlag, London, 2011.

S. Yamada, K. Tokuno, and S. Osaki, “Imperfect debugging models with fault introduction rate for software reliability assessment, ” International Journal of Systems Science, Vol. 23, Issue 12, pp. 2241–2252, 1992.

L. Arnold, Stochastic Differential Equations-Theory and Ap plications, John Wiley & Sons, New York, 19.

E. Wong, Stochastic Processes in Information and Systems, McGraw-Hill, New York, 1971.

S. Yamada, M. Kimura, H. Tanaka, and S. Osaki, “Software reliability measurement and assessment with stochastic differential equations, ” IEICE Transactions on Fundamentals, Vol. E77–A, No. 1, pp. 109–116, 1994.

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Published

2025-10-24

How to Cite

Okano, S., Tamura, Y., & Yamada, S. (2025). Sensitivity Analysis Considering Wiener Processes and Deep Learning for OSS Reliability Assessment. Journal of Graphic Era University, 14(01), 35–52. https://doi.org/10.13052/jgeu0975-1416.1412

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Articles