Keywords: agile development, lean, devOps, process efficiency, flow metrics, delivery stability, technical debt, integral index, IT team
UDC 004.4; 005.1
DOI: 10.26102/2310-6018/2026.56.5.004
Evaluating the efficiency of processes in IT teams applying agile management methodologies (Agile) is a relevant research problem associated with the need to reduce change delivery lead time while simultaneously ensuring delivery stability (quality) and the economic feasibility of software development. Traditional outcome-based indicators focused on deadlines and the volume of completed work prove to be insufficiently informative in iterative and incremental development contexts, as they fail to reflect flow variability, process losses, and the consequences of quality degradation. This paper proposes a process-oriented model for evaluating IT team efficiency, based on aggregating flow metrics, delivery stability metrics, and economic loss indicators into an integral process efficiency index. The model relies on digital trace data generated throughout the IT product life cycle in issue tracking systems, version control systems, CI/CD pipelines, and monitoring tools. Within the framework of the study, the use of a multiplicative aggregation approach is substantiated, which makes it possible to account for the impact of limiting factors in the development process. The approbation of the model using data from product teams applying Agile approaches confirms that the integral assessment enables early detection of process degradation and the localization of problem areas related to flow management, delivery stability, and the accumulation of technical debt. The results obtained demonstrate the feasibility of using the proposed model as a tool for managerial decision support and continuous monitoring of IT team process efficiency.
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Keywords: agile development, lean, devOps, process efficiency, flow metrics, delivery stability, technical debt, integral index, IT team
For citation: Kotova M.R. Features of evaluating process efficiency in an IT team when applying Agile management methodologies. Modeling, Optimization and Information Technology. 2026;14(5). URL: https://moitvivt.ru/ru/journal/article?id=2221 DOI: 10.26102/2310-6018/2026.56.5.004 (In Russ).
© Kotova M.R. Статья опубликована на условиях лицензии Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NS 4.0)Received 11.02.2026
Revised 19.03.2026
Accepted 11.05.2026