The Possibilities of Using Scoring to Determine the Relevance of Software Development Tenders

Ivan Tikshaev, Roman Kulshin, Gennadii Volokitin, Pavel Senchenko () and Anatoly Sidorov
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Ivan Tikshaev: Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia
Roman Kulshin: Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia
Gennadii Volokitin: Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia
Pavel Senchenko: Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia
Anatoly Sidorov: Faculty of Control Systems, Tomsk State University of Control Systems and Radioelectronics, 634050 Tomsk, Russia

Mathematics, 2022, vol. 10, issue 24, 1-13

Abstract: The issue of searching for tender proposals satisfying the conditions of selection on the basis of the relevance assessment algorithm is considered. The algorithm is based on a mathematical scoring model. The approbation of the model based on the historical data of the software company is presented. The possibility of using such a method to determine relevance is proved. The assumption is made about the possibility of using scoring to evaluate tenders not only for the development of software products but also in other market segments.

Keywords: scoring model; logistic regression; tender procurement; analysis of tenders; relevance assessment; information technology; lead generation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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