This is an introductory text to a collection of selected papers from the 3rd Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2020), which was held in Kryvyi Rih, Ukraine, on the November 27, 2020. It consists of short summaries of selected papers and some observations about the event and its future. Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW) is a peer-reviewed workshop focusing on research advances, applications of information technologies. CS&SE@SW topics of interest since 2018 [1, 2] are:
∗ Programming language theory ∗ Formal methods – Computer systems ∗ Computer architecture and computer engineering ∗ Computer performance analysis ∗ Concurrent, parallel and distributed systems ∗ Computer networks ∗ Formal methods ∗ Databases – Computer applications ∗ Computer graphics and visualization ∗ Human-computer interaction ∗ Scientific computing ∗ Artificial intelligence • Software Engineering (SE): – Software requirements – Software design – Software construction – Software testing – Software maintenance – Software configuration management – Software engineering management – Software development process – Software engineering models and methods – Software quality – Software engineering professional practice – Software engineering economics – Computing foundations – Mathematical foundations – Engineering foundations
This volume represents the proceedings of the 3rd Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2020), held in Kryvyi Rih, Ukraine, on November 27, 2020. It comprises 9 contributed papers that were carefully peer-reviewed and selected from 15 submissions. Each submission was reviewed by at least 2, and on the average 2.7, program committee members. The accepted papers present the state-of-the-art overview of successful cases and provides guidelines for future research. 2. CS&SE@SW 2020 Program Committee 2.1. Core Program Committee • Arnold Kiv, Ben-Gurion University of the Negev, Israel • Vasyl Oleksiuk, Ternopil Volodymyr Hnatiuk National Pedagogical University, Ukraine • Viacheslav Osadchyi, Bogdan Khmelnitsky Melitopol State Pedagogical University, Ukraine • Antonii Rzheuskyi, Lviv Polytechnic National University, Ukraine • Serhiy Semerikov, Kryvyi Rih State Pedagogical University, Ukraine • Vladimir N. Soloviev, Kryvyi Rih State Pedagogical University, Ukraine 2.2. Additional reviewers • Pavlo Hryhoruk, Khmelnytskyi National University, Ukraine • Oleksii Ignatenko, Institute of Software Systems, Ukraine • Oleksandr Kolgatin, Simon Kuznets Kharkiv National University of Economics, Ukraine • Andrey Kupin, Kryvyi Rih National University, Ukraine • Oleg Pursky, Kyiv National University of Trade and Economics, Ukraine • Andrii Striuk, Kryvyi Rih National University, Ukraine • Nataliia Veretennikova, Lviv Polytechnic National University, Ukraine
Oleksii R. Rudkovskyi (figure 1) and Galina G. Kirichek in their article [
Vladimir N. Soloviev, Andrii O. Bielinskyi (figure 2) and Natalia A. Kharadzjan in the
article [
Reducing costs is an important part in todays buisness. Therefore manufacturers try to
reduce unnecessary work processes and storage costs. Machine maintenance is a big, complex,
regular process. In addition, the spare parts required for this must be kept in stock until a
machine fails. In order to avoid a production breakdown in the event of an unexpected failure,
more and more manufacturers rely on predictive maintenance for their machines. This enables
more precise planning of necessary maintenance and repair work, as well as a precise ordering
of the spare parts required for this. A large amount of past as well as current information is
required to create such a predictive forecast about machines. With the classification of motors
based on vibration, the paper [
The paper [
The paper [
Web augmented reality (WebAR) development tools aimed at improving the visual aspects
of learning are far from being visual and available themselves. This causing problems of
selecting and testing WebAR development tools for CS undergraduates mastering in web-design
basics. The article [
Machine learning is now widely used almost everywhere, primarily for forecasting. The
main idea of the article [
The paper [
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The vision of the CS&SE@SW 2020 is provides an expert environment for young researchers, who are at the beginning of their career, to present and discuss the most recent of ideas and early results of research projects. Young researchers, who will join us to take part in discussions and/or present their papers, will be ofered an opportunity to exchange and discuss their research ideas with their peers, supervisors, and senior scientists working in the fields that are within the scope of CS&SE@SW.
The third instalment of CS&SE@SW was organised by Kryvyi Rih National University, Ukraine (with support of the rector Mykola I. Stupnik) in collaboration with Kryvyi Rih State Pedagogical University, Ukraine (with support of the rector Yaroslav V. Shramko), Institute of Information Technologies and Learning Tools of the NAES of Ukraine (with support of the director Valeriy Yu. Bykov) and Ben-Gurion University of the Negev, Israel (with support of the rector Chaim J. Hames).
We are thankful to all the authors who submitted papers and the delegates for their participation and their interest in CS&SE@SW as a platform to share their ideas and innovation. Also, we are also thankful to all the program committee members for providing continuous guidance and eforts taken by peer reviewers contributed to improve the quality of papers provided constructive critical comments, improvements and corrections to the authors are gratefully appreciated for their contribution to the success of the workshop.
We hope you enjoy this workshop and meet again in more friendly, hilarious, and happiness of further CS&SE@SW 2021 at Kryvyi Rih, Ukraine on November 26, 2021.