Program > Conference Speakers

Keynote Speaker I

Prof. Hironori Washizaki
Waseda University, Japan

 

Title: SWEBOK Guide and AI-empowered Software Engineering
Abstract: The IEEE Computer Society has been strategically providing activities and products related to emerging technologies and professional and educational activities, including Technology Predictions and the Guide to the Software Engineering Body of Knowledge (SWEBOK Guide). This talk first explains the latest version of the Technology Predictions 2026, which foresees 26 breakthrough technologies (incl. AI and Future of Work and Future of Coding) to shape the future of our world for decades to come, and the SWEBOK Guide V4, which reflects contemporary engineering paradigms and emerging areas, including Agile and DevOps, software architecture, security, and AI. Then, as part of AI and SE, the talk provides an overview of Generative and Agentic AI-empowered software engineering, including LLM-supported requirements engineering, software architecting, coding agents, and software security engineering. The talk highlights how these approaches align with and extend the evolving body of knowledge represented in SWEBOK, pointing toward the future of AI-augmented software engineering.

Bio: Hironori Washizaki is a Professor and the Associate Dean of the Research Promotion Division at Waseda University in Tokyo and a Visiting Professor at the National Institute of Informatics. He also works as an Outside Director of eXmotion. He is the immediate past president of the IEEE Computer Society. He has led software engineering research and ICT professional and educational activities, including the development of IEEE-CS's Guide to the Software Engineering Body of Knowledge (SWEBOK Guide). He has led many academia-industry joint research projects and large-scale funded projects in software design, reuse, traceability, quality assurance, and machine learning engineering. Recent achievements include IoT design patterns and machine learning design patterns. He leads a professional IoT/AI/DX education project called SmartSE. http://www.washi.cs.waseda.ac.jp/washizaki/

Invited Speaker I

Prof. Hirohisa Aman
Ehime University, Japan

Title: Impact of Human Factors on Code Quality: Comments and Variable Names
Abstract: Readable and understandable source code is essential for effective software quality management, yet some practices that are usually considered beneficial can have unexpected side effects.
In particular, comments and variable names are closely tied to how developers read, interpret, and review code.
While well-written comments can support comprehension, they may also mask underlying code smells and sometimes signal deeper design or implementation problems.
Similarly, descriptive variable names can clarify intent, but when names become long or visually similar—such as "lineIndent" and "lineIndex"—they may increase the risk of confusion during programming and code review.
This talk will present empirical studies on these human-related factors and discuss how comments and variable names influence code quality.

Bio: Hirohisa Aman is a Professor at the Center for Information Technology, Ehime University, Japan.
He received his B.E., M.E., and Doctor of Engineering degrees from Kyushu Institute of Technology, Japan, in 1996, 1998, and 2001, respectively.
His research interests include software metrics, software testing, empirical software engineering, and human factors in software engineering.
He serves as a board member of JSSST, is a Senior Member of IEEE, and is a member of IPSJ and IEICE.
He is currently serving as Program Co-Chair of the 3rd International Symposium on Software Fault Prevention, Verification, and Validation (SFPVV 2026).

Invited Speaker II

Prof. Raula Gaikovina Kula
The University of Osaka, Japan 

Title: Software Ecosystems: Where Do We Go From Here?
Abstract: In this talk I will provide insights into the complexities of software ecosystems, trends and in the light of the AI invasion. In my research, my colleagues and I investigate different open source software ecosystems, and their technical, social and societial. Finally, I look at the different possibilities for the future in light of Generative AI and the role it will play in both Open Source and Software Engineering.

Bio: Raula Gaikovina Kula is a professor at the Graduate School of Information Science and Technology, Osaka University. He is also a designated professor at the Osaka University Institute for Advanced Co-Creation Studies. He received his Ph.D. from Nara Institute of Science and Technology (NAIST) in 2013, later joining as a Specially-Appointed Assistant Professor from (2013-2016) at Osaka University. He then continued as a Specially-Appointed Assistant Professor from (2017), later becoming an Assistant Professor (2017-2023), and an Associate Professor (2023-2024) at NAIST. Kula has published over 150 publications in top Software Engineering venues, collaborating with several researchers from across the globe, and is a member of both Editorial and Steering Committees.

 

Speakers in 2026 to be announced soon......

© WSSE 2026 | Nara, Japan | Email: wsse@sciei.org
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