Identifying Self-Admitted Technical Debt in Issue Tracking Systems using Machine Learning

4 February 2022

Papers citing "Identifying Self-Admitted Technical Debt in Issue Tracking Systems using Machine Learning"

8 / 8 papers shown

Title
CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++ Phuoc Pham Murali Sridharan Matteo Esposito Valentina Lenarduzzi 29 0 0 02 May 2025
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt E. Sutoyo Paris Avgeriou Andrea Capiluppi 29 2 0 21 Oct 2024
Identifying Technical Debt and Its Types Across Diverse Software Projects Issues Karthik Shivashankar Mili Orucevic Maren Maritsdatter Kruke Antonio Martini 38 1 0 17 Aug 2024
SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt E. Sutoyo Andrea Capiluppi 22 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 18 1 0 23 Jan 2024
Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources Yikun Li Mohamed Soliman P. Avgeriou 30 2 0 13 Mar 2023
Automatic Identification of Self-Admitted Technical Debt from Four Different Sources Yikun Li Mohamed Soliman P. Avgeriou 31 33 0 04 Feb 2022
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 273 13,368 0 25 Aug 2014