Registered user since Sat 26 Oct 2019

Name:Shanping Li

Contributions

ASE 2021 Author of Automating Developer Chat Mining within the Research Papers-track
ESEC/FSE 2021 Author of Just-In-Time Defect Identification and Localization: A Two-Phase Framework within the Journal First-track
ASE 2020 Author of Automating Just-In-Time Comment Updating within the Research Papers-track
ICSE 2021 Author of A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms within the Technical Track-track
Author of An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt within the Journal-First Papers-track
Author of UIS-Hunter: Detecting UI Design Smells in Android Apps within the DEMO - Demonstrations-track
Author of Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines within the Technical Track-track
Author of What Makes a Popular Academic AI Repository? within the Journal-First Papers-track
ASE 2019 Author of Automatic Generation of Pull Request Descriptions within the Research Papers-track
ICSE 2020 Author of Is Using Deep Learning Frameworks Free? Characterizing Technical Debt in Deep Learning Frameworks within the Software Engineering in Society-track
Author of Characterizing and Identifying Reverted Commits within the Journal First-track
Author of The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction within the Journal First-track
Author of Which Variables Should I Log? within the Journal First-track
ICSE 2019 Author of On Reliability of Patch Correctness Assessment within the Technical Track-track
ESEC/FSE 2018 Author of Early prediction of merged code changes to prioritize reviewing tasks within the Journal-First-track
Author of VT-Revolution: Interactive Programming Tutorials Made Possible within the Demonstrations-track
* ICSE 2018 * Author of SATD Detector: A Text-Mining-Based Self-Admitted Technical Debt Detection Tool within the DEMO - Demonstrations -track
Author of Measuring Program Comprehension: A Large-Scale Field Study with Professionals within the Journal first papers-track