The intellectual system development of distant competencies analyzing for IT recruitment

Antonii Rzheuskyi; Orest Kutyuk; Orysia Voloshyn; Agnieszka Kowalska-Styczen; Viktor Voloshyn; Lyubomyr Chyrun; Sofiia Chyrun; Dmytro Peleshko; Taras Rak

doi:10.1007/978-3-030-33695-0_47

The intellectual system development of distant competencies analyzing for IT recruitment

Antonii Rzheuskyi
, Orest Kutyuk
, Orysia Voloshyn
, Agnieszka Kowalska-Styczen
, Viktor Voloshyn
, Lyubomyr Chyrun
, Sofiia Chyrun
, Dmytro Peleshko
, Taras Rak

Department of Economy and Informatics (ROZ/ROZ1)

Lviv Polytechnic National University
IT Step University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

28 Citations (Scopus)

Abstract

AHP study methods of solving problems to use AHP comparing alternatives (TOPSIS) and supervised learning algorithm using linear regression are proposed. To meet the challenges these methods were chosen language PHP, its own established framework CollEntRes, additional tools that helped during the programming process to detect errors and correct them (Debug), popular modern framework to work with the client part Angular, relational control systems, databases MariaDB HeidiSQL and its client, the technology to work with the client part of the site HTML and CSS and additional tools such as Bootstrap and SCSS. As a result, within practical implementation of software tool has been developed whose main goal is an analysis of matrix distant for recruitment in IT sector. The software tool covers general information and requirements for software, described in detail basic functionality of the software analysis and test cases for all kinds of users is presented in the article.

Original language	English
Title of host publication	Advances in Intelligent Systems and Computing IV- Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019
Editors	Natalya Shakhovska, Mykola O. Medykovskyy
Publisher	Springer
Pages	696-720
Number of pages	25
ISBN (Print)	9783030336943
DOIs	https://doi.org/10.1007/978-3-030-33695-0_47
Publication status	Published - 2020
Event	14th International Scientific and Technical Conference on Computer Science and Information Technologies, CSIT 2019 - Lviv, Ukraine Duration: 17 Sept 2019 → 20 Sept 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1080 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	14th International Scientific and Technical Conference on Computer Science and Information Technologies, CSIT 2019
Country/Territory	Ukraine
City	Lviv
Period	17/09/19 → 20/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

AHP
Competencies
Distance learning
Distant
IT recruitment
Intellectual system
Machine learning
TOPSIS

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-33695-0_47

Cite this

Rzheuskyi, A., Kutyuk, O., Voloshyn, O., Kowalska-Styczen, A., Voloshyn, V., Chyrun, L., Chyrun, S., Peleshko, D., & Rak, T. (2020). The intellectual system development of distant competencies analyzing for IT recruitment. In N. Shakhovska, & M. O. Medykovskyy (Eds.), Advances in Intelligent Systems and Computing IV- Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019 (pp. 696-720). (Advances in Intelligent Systems and Computing; Vol. 1080 AISC). Springer. https://doi.org/10.1007/978-3-030-33695-0_47

Rzheuskyi, Antonii ; Kutyuk, Orest ; Voloshyn, Orysia et al. / The intellectual system development of distant competencies analyzing for IT recruitment. Advances in Intelligent Systems and Computing IV- Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019. editor / Natalya Shakhovska ; Mykola O. Medykovskyy. Springer, 2020. pp. 696-720 (Advances in Intelligent Systems and Computing).

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abstract = "AHP study methods of solving problems to use AHP comparing alternatives (TOPSIS) and supervised learning algorithm using linear regression are proposed. To meet the challenges these methods were chosen language PHP, its own established framework CollEntRes, additional tools that helped during the programming process to detect errors and correct them (Debug), popular modern framework to work with the client part Angular, relational control systems, databases MariaDB HeidiSQL and its client, the technology to work with the client part of the site HTML and CSS and additional tools such as Bootstrap and SCSS. As a result, within practical implementation of software tool has been developed whose main goal is an analysis of matrix distant for recruitment in IT sector. The software tool covers general information and requirements for software, described in detail basic functionality of the software analysis and test cases for all kinds of users is presented in the article.",

keywords = "AHP, Competencies, Distance learning, Distant, IT recruitment, Intellectual system, Machine learning, TOPSIS",

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year = "2020",

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Rzheuskyi, A, Kutyuk, O, Voloshyn, O, Kowalska-Styczen, A, Voloshyn, V, Chyrun, L, Chyrun, S, Peleshko, D & Rak, T 2020, The intellectual system development of distant competencies analyzing for IT recruitment. in N Shakhovska & MO Medykovskyy (eds), Advances in Intelligent Systems and Computing IV- Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019. Advances in Intelligent Systems and Computing, vol. 1080 AISC, Springer, pp. 696-720, 14th International Scientific and Technical Conference on Computer Science and Information Technologies, CSIT 2019, Lviv, Ukraine, 17/09/19. https://doi.org/10.1007/978-3-030-33695-0_47

The intellectual system development of distant competencies analyzing for IT recruitment. / Rzheuskyi, Antonii; Kutyuk, Orest; Voloshyn, Orysia et al.
Advances in Intelligent Systems and Computing IV- Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019. ed. / Natalya Shakhovska; Mykola O. Medykovskyy. Springer, 2020. p. 696-720 (Advances in Intelligent Systems and Computing; Vol. 1080 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The intellectual system development of distant competencies analyzing for IT recruitment

AU - Rzheuskyi, Antonii

AU - Kutyuk, Orest

AU - Voloshyn, Orysia

AU - Kowalska-Styczen, Agnieszka

AU - Voloshyn, Viktor

AU - Chyrun, Lyubomyr

AU - Chyrun, Sofiia

AU - Peleshko, Dmytro

AU - Rak, Taras

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - AHP study methods of solving problems to use AHP comparing alternatives (TOPSIS) and supervised learning algorithm using linear regression are proposed. To meet the challenges these methods were chosen language PHP, its own established framework CollEntRes, additional tools that helped during the programming process to detect errors and correct them (Debug), popular modern framework to work with the client part Angular, relational control systems, databases MariaDB HeidiSQL and its client, the technology to work with the client part of the site HTML and CSS and additional tools such as Bootstrap and SCSS. As a result, within practical implementation of software tool has been developed whose main goal is an analysis of matrix distant for recruitment in IT sector. The software tool covers general information and requirements for software, described in detail basic functionality of the software analysis and test cases for all kinds of users is presented in the article.

AB - AHP study methods of solving problems to use AHP comparing alternatives (TOPSIS) and supervised learning algorithm using linear regression are proposed. To meet the challenges these methods were chosen language PHP, its own established framework CollEntRes, additional tools that helped during the programming process to detect errors and correct them (Debug), popular modern framework to work with the client part Angular, relational control systems, databases MariaDB HeidiSQL and its client, the technology to work with the client part of the site HTML and CSS and additional tools such as Bootstrap and SCSS. As a result, within practical implementation of software tool has been developed whose main goal is an analysis of matrix distant for recruitment in IT sector. The software tool covers general information and requirements for software, described in detail basic functionality of the software analysis and test cases for all kinds of users is presented in the article.

KW - AHP

KW - Competencies

KW - Distance learning

KW - Distant

KW - IT recruitment

KW - Intellectual system

KW - Machine learning

KW - TOPSIS

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U2 - 10.1007/978-3-030-33695-0_47

DO - 10.1007/978-3-030-33695-0_47

M3 - Conference contribution

AN - SCOPUS:85076961494

SN - 9783030336943

T3 - Advances in Intelligent Systems and Computing

SP - 696

EP - 720

BT - Advances in Intelligent Systems and Computing IV- Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019

A2 - Shakhovska, Natalya

A2 - Medykovskyy, Mykola O.

PB - Springer

T2 - 14th International Scientific and Technical Conference on Computer Science and Information Technologies, CSIT 2019

Y2 - 17 September 2019 through 20 September 2019

ER -

Rzheuskyi A, Kutyuk O, Voloshyn O, Kowalska-Styczen A, Voloshyn V, Chyrun L et al. The intellectual system development of distant competencies analyzing for IT recruitment. In Shakhovska N, Medykovskyy MO, editors, Advances in Intelligent Systems and Computing IV- Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019. Springer. 2020. p. 696-720. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-33695-0_47

The intellectual system development of distant competencies analyzing for IT recruitment

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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