Skip to ContentSkip to Navigation
founded in 1614  -  top 100 university
About us Practical matters How to find us E. (Edi) Sutoyo

Research interests

Text Mining, Natural Language Processing, Software Engineering

 

Publications

Reducing labeling effort in architecture technical debt detection through active learning and explainable AI

Self-Admitted Technical Debt Detection Approaches: A Decade Systematic Review

Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt

Tracing the Lifecycle of Architecture Technical Debt in Software Systems: A Dependency Approach

Development and Adoption of SATD Detection Tools: A State-of-practice Report

SATDAUG - A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt

Sustainable Development Goals

More information about the Sustainable Development Goals.