Curates 341k SATD items from 1k Apache repos, analyzes effort differences by debt type, and shows BERT/TextCNN models predict repayment effort from text better than traditional ML baselines.
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Introduces Augment Engineering as a six-phase multi-tool orchestration methodology, supported by exploratory statistics from a single-practitioner case study across seven domains.
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Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt
Curates 341k SATD items from 1k Apache repos, analyzes effort differences by debt type, and shows BERT/TextCNN models predict repayment effort from text better than traditional ML baselines.
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Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains
Introduces Augment Engineering as a six-phase multi-tool orchestration methodology, supported by exploratory statistics from a single-practitioner case study across seven domains.