Special Stream in Intelligent Software Systems and Tools

Virtually all areas of human activity today are associated with computer systems based on software. Modern computer systems today especially need effective software systems and tools. At the current stage of development and implementation of software systems and tools in various fields of human activity, decisive changes are taking place, as there are powerful technical resources for the accumulation and processing of large amounts of information. At the same time, such areas of intellectualization of information and data processing as: Machine Learning, Cognitive Computing, Big Data Processing, Deep Learning, Semantic WEB and others are developed and provide to solve new classes of problems based on available information resources. All of the above are prerequisites for the transition to a new qualitative level of information processing, and, accordingly, for the development of methodology for the creation and implementation of intelligent software systems and tools of the new generation.

The special stream focuses on all technical and practical aspects of the latest research and results of international academicians, scientists and practitioners related to intelligent software systems and tools. This special stream provides opportunities to exchange new ideas, to establish business or research relations and to find global partners for future collaboration. We hope that the workshop results make a significant contribution to the development of intelligent software systems and tools along with establishing national and international cooperation for future research projects.

Topics include, but are not limited to:

  • Intelligent Software Systems
  • Intelligent Software Tools
  • Intelligent Systems for Software Engineering Domain
  • Intelligent Systems and Toolls for Software Quality Assurance
  • Intelligent Systems and Toolls for Software Reliability


  • Prof. Tetiana Hovorushchenko, Khmelnytskyi National University, Ukraine
  • Prof. Peter Popov, Centre for Software Reliability, City University of London, United Kingdom

IPC Committee

  • Prof. Oleh Savenko, Khmelnytskyi National University, Ukraine
  • DrSc. Sergii Lysenko, Khmelnytskyi National University, Ukraine
  • Prof. Elena Zaitseva, Zilina University, Slovakia
  • Prof. Vitaly Levashenko, Zilina University, Slovakia
  • Prof. Abdel-Badeeh M. Salem, Ain Shams University, Egypt
  • Dr. Hakan Kutucu, Karabuk University, Turkey
  • Prof. Yurii Krak, Taras Shevchenko National University of Kyiv, Ukraine
  • Prof. Olexander Barmak, Khmelnytskyi National University, Ukraine
  • Prof. Vitaly Yakovyna, Lviv Polytechnic National University, Ukraine
  • Prof. Sergey Subbotin, National University “Zaporizhzhia Polytechnic”, Ukraine
  • Prof. Volodymyr Lytvynenko, Kherson National Technical University, Ukraine
  • Dr. Kira Bobrovnikova, Khmelnytskyi National University, Ukraine
  • Dr. Andrii Nicheporuk, Khmelnytskyi National University, Ukraine
  • Dr. Ivan Izonin, Lviv Polytechnic National University, Ukraine
  • Dr. Artem Boyarchuk, National Aerospace University KhAI, Ukraine
  • Dr. Yelyzaveta Hnatchuk, Khmelnytskyi National University, Ukraine
  • Dr. Olga Pavlova, Khmelnytskyi National University, Ukraine
Important Dates

Abstract submission:
07 June 2021
23 June 2021

Notification of acceptance:
20 July 2021
31 July 2021

Late paper submission:
28 July 2021
05 August 2021

Notification of Late paper acceptance:
29 July 2021
10 August 2021

Camera ready paper:
28 July 2021
08 August 2021

Early registration:
07 July 2021 - 07 August 2021
19 July 2021 - 19 August 2021

Social Networks
Sponsors and Partners
Organized and Sponsored by:
IEEE Ukraine Section I&M / CI Joint Societies Chapter
ICS logo
Research Institute for Intelligent Computer Systems
West Ukrainian National University
Faculty of Electrical and Computer Engineering
PK logo
Cracow University of Technology
IEEE Ukraine Section
IEEE Ukraine Section
IEEE Poland Section
IEEE Poland Section
MDPI Sensors
MDPI Sensors
River Publishers
River Publishers
Producer of a full range of wireless, low power IoT sensors working with any cloud platform
Dortmund University of Applied Sciences and Arts