DEVELOPMENT OF THE INFORMATION MODEL OF THE ASSOCIATIVE RULES SEARCH DURING THE SOFTWARE DEVELOPMENT

Authors

  • Tamara Oleksandrivna Savchuk Vinnytsia National Technical University
  • Nataliia Vasylivna Pryimak Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1999-9941-2018-42-2-43-48

Keywords:

software, information model, associative rules, Data Mining

Abstract

The problem of associative rules search during software development is formed in the work, and the informational model of the process of associative rules search during software development is proposed. In this paper, the models of software development, their advantages and disadvantages are considered; the main stages of this process are specified; the expediency of associative rules search during the software development was substantiated in order to find dependencies that can be used to determine the time required by a particular developer to correct a task. Project managers can use this information to plan and manage the software development process. The expediency of using the proposed information model of associative rules search during software development is proved. The results of the research showed that the informative of the associative rules has increased and the search time has decreased. The developed information model of associative rules search during software development can be used in the development of relevant information technology.

Author Biographies

Tamara Oleksandrivna Savchuk, Vinnytsia National Technical University

PhD, Professor of the Department of Computer Science of Vinnytsia National Technical University

Nataliia Vasylivna Pryimak, Vinnytsia National Technical University

a post-graduate student of the Department of Computer Science of Vinnytsia National Technical University

Downloads

Abstract views: 436

Published

2018-10-16

How to Cite

[1]
T. O. Savchuk and N. V. Pryimak, “DEVELOPMENT OF THE INFORMATION MODEL OF THE ASSOCIATIVE RULES SEARCH DURING THE SOFTWARE DEVELOPMENT”, ІТКІ, vol. 42, no. 2, pp. 43–48, Oct. 2018.

Issue

Section

Information technology and coding theory

Metrics

Downloads

Download data is not yet available.

Most read articles by the same author(s)