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Automatic Identification of Self-Admitted Technical Debt from Four Different Sources

Empirical Software Engineering (EMSE), 2022

4 February 2022

Yikun Li

Mohamed Soliman

P. Avgeriou

ArXiv (abs)PDF HTML Github (4★)

Papers citing "Automatic Identification of Self-Admitted Technical Debt from Four Different Sources"

8 / 8 papers shown

Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)

191

02 May 2025

Deep Learning and Data Augmentation for Detecting Self-Admitted Technical DebtAsia-Pacific Software Engineering Conference (APSEC), 2024

E. Sutoyo

Paris Avgeriou

Andrea Capiluppi

302

21 Oct 2024

Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation

Nam Le Hai

Nghi D. Q. Bui

308

06 Aug 2024

SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical DebtIEEE Working Conference on Mining Software Repositories (MSR), 2024

E. Sutoyo

Andrea Capiluppi

174

12 Mar 2024

What Can Self-Admitted Technical Debt Tell Us About Security? A Mixed-Methods StudyIEEE Working Conference on Mining Software Repositories (MSR), 2024

Nicolás E. Díaz Ferreyra

480

23 Jan 2024

Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt

Yikun Li

Mohamed Soliman

P. Avgeriou

Jie Tan

Jiakun Liu

12 Sep 2023

Artificial Intelligence for Technical Debt Management in Software Development

Srinivas Babu Pandi

Samia A. Binta

Savita Kaushal

16 Jun 2023

Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources

Yikun Li

Mohamed Soliman

P. Avgeriou

125

13 Mar 2023