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Identifying self-admitted technical debt in issue tracking systems using machine learning

Architectural design decisions that incur technical debt — An industrial case study

Exploring Web Search Engines to Find Architectural Knowledge

Identification and Remediation of Self-Admitted Technical Debt in Issue Trackers

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