What question did this study set out to answer?

To review and systematize multifaceted approaches and metrics used to assess software quality across technical, operational, and consumer domains.

August 19, 2026Journal of Monetary Economics and Management

Approaches to assessing the quality of software

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Authors

ABAnna Boykova АВАлександр Воронов

Discussion

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Overview

Methodological review classifies multidimensional quality assessment frameworks across software lifecycles, highlighting intelligent systems for evaluating complex performance factors.

Key Points

To review and systematize multifaceted approaches and metrics used to assess software quality across technical, operational, and consumer domains.
Categorized software evaluation into four primary domains: standardized models, methodological frameworks, code analysis/testing, and modern specialized approaches.
Structured quality metrics across multiple levels, examining standardized indicators, technical-economic factors, size/complexity metrics, and specialized requirements for critical systems.
Identified four foundational assessment paradigms and established a multilevel taxonomy covering quantitative metrics (size, complexity, performance) and domain-specific factors.
Demonstrated that high-reliability and critical systems require specialized evaluation of algorithm temporal and accuracy characteristics.
Determined that holistic quality evaluation requires multi-method integration across all development stages, with artificial intelligence and cognitive models showing promise for subjective factors.

Cite This Study

Boykova et al. (2026) studied this question.

synapsesocial.com/papers/6a85634f03308d306e2d6646 https://doi.org/10.26118/2782-4586-2026-137-143

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August 19, 2026Journal of Monetary Economics and Management

Approaches to assessing the quality of software

View Full Paper

Ask AI

Bookmark

Authors

ABAnna Boykova АВАлександр Воронов

Discussion

Member takes

Overview

Methodological review classifies multidimensional quality assessment frameworks across software lifecycles, highlighting intelligent systems for evaluating complex performance factors.

Key Points

To review and systematize multifaceted approaches and metrics used to assess software quality across technical, operational, and consumer domains.
Categorized software evaluation into four primary domains: standardized models, methodological frameworks, code analysis/testing, and modern specialized approaches.
Structured quality metrics across multiple levels, examining standardized indicators, technical-economic factors, size/complexity metrics, and specialized requirements for critical systems.
Identified four foundational assessment paradigms and established a multilevel taxonomy covering quantitative metrics (size, complexity, performance) and domain-specific factors.
Demonstrated that high-reliability and critical systems require specialized evaluation of algorithm temporal and accuracy characteristics.
Determined that holistic quality evaluation requires multi-method integration across all development stages, with artificial intelligence and cognitive models showing promise for subjective factors.

Cite This Study

Boykova et al. (2026) studied this question.

synapsesocial.com/papers/6a85634f03308d306e2d6646 https://doi.org/10.26118/2782-4586-2026-137-143

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