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

4 February 2022

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

8 / 8 papers shown

Title
CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++ Phuoc Pham Murali Sridharan Matteo Esposito Valentina Lenarduzzi 17 0 0 02 May 2025
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt E. Sutoyo Paris Avgeriou Andrea Capiluppi 24 2 0 21 Oct 2024
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation Nam Le Hai Nghi D. Q. Bui 31 1 0 06 Aug 2024
SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt E. Sutoyo Andrea Capiluppi 13 0 0 12 Mar 2024
What Can Self-Admitted Technical Debt Tell Us About Security? A Mixed-Methods Study Nicolás E. Díaz Ferreyra Mojtaba Shahin Mansooreh Zahedi Sodiq Quadri Riccardo Scandariato 11 1 0 23 Jan 2024
Artificial Intelligence for Technical Debt Management in Software Development Srinivas Babu Pandi Samia A. Binta Savita Kaushal 8 3 0 16 Jun 2023
Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources Yikun Li Mohamed Soliman P. Avgeriou 19 2 0 13 Mar 2023
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,347 0 25 Aug 2014