ЗАДАЧА ОЦЕНКИ СТОИМОСТИ РАЗРАБОТАННОГО ПРОГРАММНОГО ОБЕСПЕЧЕНИЯ

Ксения Евгеньевна Полянская; Ирина Евгеньевна Воронина

doi:10.17308/sait/1995-5499/2025/3/153-171

Authors

Ksenia E. Polyanskaya Voronezh State University https://orcid.org/0009-0004-6937-6417 (unauthenticated)
Irina E. Voronina Voronezh State University https://orcid.org/0000-0003-0040-5764 (unauthenticated)

DOI:

https://doi.org/10.17308/sait/1995-5499/2025/3/153-171

Keywords:

cost estimation, software cost, effort, software size, LOC, function points, COCOMO II, fuzzy logic

Abstract

The cost estimation of software development is a critical task in project management and resource planning. The cost of software is determined by numerous factors, which are often difficult to assess accurately. However, estimating the cost of already developed software poses a particular challenge. With the advancement of technology, the task of evaluating the cost of existing software has become highly relevant. Such a need arises, for instance, in legal disputes over government contracts when the final product does not meet the customer’s expectations, or there is suspicion of cost overstatement. Addressing this task requires adapting traditional estimation methods to new conditions, as detailed data on the development process, applied techniques, and intermediate stage costs are often unavailable. In many cases, cost estimation relies predominantly on source code analysis, which complicates the process and reduces result accuracy, as the code does not always fully reflect the efforts spent on design, testing, integration, and other essential development aspects. This paper proposes an implementation of a cost-based approach to software development cost estimation and analyzes existing algorithmic cost estimation methods, evaluating their advantages, disadvantages, and applicability to assessing the cost of already developed software. As a solution, an enhancement to the COCOMO II model using fuzzy logic is suggested. Validation of the proposed method requires real project data and an expert base, opening avenues for further research.

Author Biographies

Ksenia E. Polyanskaya, Voronezh State University

2nd year master’s student of the Department of Software and Information Systems Administration
Irina E. Voronina, Voronezh State University

Doctor of Engineering Sciences, Professor of the Department of Software and Information Systems Administration

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