Technical Lag as Latent Technical Debt: A Rapid Review

2026-01-16

AI Summary

This study addresses the critical yet underexplored issue of implicit technical debt accumulated due to technological obsolescence in software systems, which undermines software quality and maintainability. It formally defines technological lag as passively accrued implicit technical debt and positions it as a key indicator in software maintenance. Through a rapid literature review augmented by snowball sampling across major academic databases—including ACM, IEEE Xplore, Scopus, and Springer—the work systematically identifies the root causes, adverse impacts, and mitigation strategies associated with technological lag. The analysis reveals its detrimental effects on dependencies, APIs, platforms, and infrastructure, and proposes concrete management mechanisms such as automated updates, continuous integration, and periodic audits. The paper concludes by outlining promising directions for future research to advance the systematic identification and governance of this form of technical debt.

Technology Category

• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust
• Application Domains: Software Engineering
• Multiagent Systems: Other Foundations of Multi Agent Systems

Application Category

• Responsible Web: Social and technical mechanisms of refusal for web technologies and applications
• Social Networks and Social Media: Socio-technical web-based systems
• Systems and Infrastructure for Web, Mobile and WoT: Sustainability and carbon-aware systems for Web, mobile, and WoT

Abstract

Context: Technical lag accumulates when software systems fail to keep pace with technological advancements, leading to a deterioration in software quality. Objective: This paper aims to consolidate existing research on technical lag, clarify definitions, explore its detection and quantification methods, examine underlying causes and consequences, review current management practices, and lay out a vision as an indicator of passively accumulated technical debt. Method: We conducted a Rapid Review with snowballing to select the appropriate peer-reviewed studies. We leveraged the ACM Digital Library, IEEE Xplore, Scopus, and Springer as our primary source databases. Results: Technical lag accumulates passively, often unnoticed due to inadequate detection metrics and tools. It negatively impacts software quality through outdated dependencies, obsolete APIs, unsupported platforms, and aging infrastructure. Strategies to manage technical lag primarily involve automated dependency updates, continuous integration processes, and regular auditing. Conclusions: Enhancing and extending the current standardized metrics, detection methods, and empirical studies to use technical lag as an indication of accumulated latent debt can greatly improve the process of maintaining large codebases that are heavily dependent on external packages. We have identified the research gaps and outlined a future vision for researchers and practitioners to explore.

Problem

• technical lag
• technical debt
• software quality
• dependency management
• software maintenance

Innovation

• Technical Lag
• Latent Technical Debt
• Software Quality
• Dependency Management
• Rapid Review