Abstract
Technical debt expresses the use of non-optimal solutions for short-term gains. Self-admitted technical debt is a technical debt that is deliberately introduced and recognized by developers in source code comments, including design debt, requirement debt, and defect debt, etc. Currently, many methods are proposed to detect SATD. However, these methods are limited to the identification of SATD or non-SATD. In this paper, we propose a CNN-BiLSTM method to detect and classify SATD. Through our cross-project experiments on 10 projects, it is shown that our method can not only effectively detect SATD, but also classify design debt, requirement debt, and defect debt in SATD.
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