Sensitivity Analysis for Deep Learning Data Sets Considering the Human Immune System

Authors

  • Haruki Takeda Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan
  • Shoichiro Miyamoto Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan
  • Lei Zhou Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan
  • Yoshinobu Tamura Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan
  • Shigeru Yamada Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori, Japan

DOI:

https://doi.org/10.13052/jgeu0975-1416.1228

Keywords:

Reliability assessment, deep learning, open source software

Abstract

Recently, open source software (OSS) has been widely used in many fields due to the spread and development facilitated by networks. The characteristics of OSS include no cost and high performance, which make it a significant component of modern society. However, the number of reported faults is increasing due to its vulnerabilities. Detecting these faults requires substantial costs, and correcting the growing number of faults necessitates a large workforce. In this paper, we propose a method for Reliability Assessment of OSS using deep learning based on the human immune system. Additionally, we present several numerical examples based on the proposed method.

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Author Biographies

Haruki Takeda, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan

Haruki Takeda 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.

Shoichiro Miyamoto, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan

Shoichiro Miyamoto received the B.S.E. and M.S. degrees from Yamaguchi University in Japan, in 2022 and 2023, respectively. Since 2022, 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.

Lei Zhou, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan

Lei Zhou received the M.S. degree from Nanjing Tech University in China, and Ph.D. degree from Tokyo Metropolitan University in 2020, respectively. Since 2021, she has been working as an Assistant Professor at the Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan. Her research interests the design and maintenance policies for linear consecutive-k-out-of-n: G systems at Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan.

Yoshinobu Tamura, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, 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, Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori, 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, and IEEE Reliability Society Japan Joint Chapter 2020 Reliability Engineering Award in 2021. 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.

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Published

2024-11-08

How to Cite

Takeda, H., Miyamoto, S., Zhou, L., Tamura, Y., & Yamada, S. (2024). Sensitivity Analysis for Deep Learning Data Sets Considering the Human Immune System. Journal of Graphic Era University, 12(02), 309–328. https://doi.org/10.13052/jgeu0975-1416.1228

Issue

2024: Vol 12 Iss 2

Section

Articles