Welcome to The 5th World Symposium on Software Engineering (WSSE 2023)

We cordially invite the scientific community to participate in what promises to be a memorable conference-The 5th World Symposium on Software Engineering (WSSE 2023) in Tokyo, Japan on September 22-24. WSSE is organized by Science and Engineering Institute, co-sponsored by Wuhan University, University of Houston-Downtown, Huaqiao University and technical supported by University of North Dakota, etc.

Prompt keynote presentations, oral talks, poster presentations and exhibitions. Organizing committee of the conference expects and firmly believes that all the attendees around the world will be harvested academically; enjoy the academic exchange and wonderful things Tokyo will offer. We hope that you will take this opportunity to join us.

Sincere gratitude would be extended to all keynotes speakers and conference members for their technical advices and pertinent suggestions, and to all the scholars and experts in this field for eager supports.

Looking forward to your attendance in Tokyo.

Proceedings


All the papers will be peer reviewed by experts. The review result comes out in 15 to 20 days. Accepted, registered and presented papers will be published in the ACM Conference Proceedings with ISBN 979-8-4007-0805-3, which will be indexed by Ei Compendex, Scopus and other academical databases.

How to Submit?

To submit your paper or abstract:
https://www.zmeeting.org/submission/wsse2023

  • An account is needed. Please register at first, if you do not have one.
  • Full paper submission can be published in proceeding after reviewing and registration.
    (Template Download) (LaTex)
  • Abstract can be included in conference program only.
    (Template Download)
  • To update new version, please mail conference secretary to avoid repeat submission.

Speakers

Prof. Witold Pedrycz
University of Alberta, Canada
(IEEE Fellow & H-Index 119)

Witold Pedrycz (Life Fellow, IEEE) received the M.Sc. degree in computer science, the Ph.D. degree in computer engineering, and the D.Sci. degree in systems science from the Silesian University of Technology, Gliwice, Poland, in 1977, 1980, and 1984, respectively.,He is a Professor and the Canada Research Chair of computational intelligence with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. He is also with the System Research Institute, Polish Academy of Sciences, Warsaw, Poland. He has authored 15 research monographs covering various aspects of computational intelligence, data mining, and software engineering. His current research interests include computational intelligence, fuzzy modeling, granular computing, knowledge discovery and data mining, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing, and software engineering., Prof. Pedrycz was a recipient of the IEEE Canada Computer Engineering Medal, the Cajastur Prize for Soft Computing from the European Center for Soft Computing, the Killam Prize, and the Fuzzy Pioneer Award from the IEEE Computational Intelligence Society. He is intensively involved in editorial activities...... (More)


Prof. Gul A Agha
National University of Illinois at Urbana-Champaign, USA
(IEEE Fellow & ACM Fellow)

Dr. Gul Agha is Professor Emeritus and Research Professor of Computer Science at the University of Illinois at UrbanaChampaign, and CEO of Embedor Technologies. Agha is a Fellow of the ACM, and Fellow of the IEEE. He was a recepient of the 2019 ACM SigSoft Impact Paper Award. Dr. Agha served as Editor-in-Chief of IEEE Concurrency: Parallel, Distributed and Mobile Computing (1994-98), and of ACM Computing Surveys (2000-07). Dr. Agha is best known for his formalization of the Actor model which has been realized in industrial programming languages and frameworks such as Erlang, Scala/Akka, and Orleans. Agha and his research group developed Concolic Testing for programs with memory and concurrency. Concolic testing has been incorporated in industrial software testing tools such as KLEE, Microsoft SAGE, and S2E. Dr. Agha developed methods for Statistical Model Checking (SMC). SMC has been applied to biological systems and cyberphysical systems. Dr. Agha research also led to Euclidean model checking, a method to reason about the evolution of probability distributions. Other research contributions include methods to harness computational learning for program verification; logical methods for automated decentralized...... (More)


Getting more from speakers.


© WSSE 2023 | Tokyo, Japan | Email: wsse@sciei.org