Yang Feng -

Registered user since Fri 22 Jun 2018

Name: Yang Feng

Country: China

Affiliation: Nanjing University

Research interests: Program Analysis and Software Testing

Contributions

ISSTA 2020	Author of Test Recommendation System Based on Slicing Coverage Filtering within the Tool Demonstration-track Committee Member in Program Committee within the Tool Demonstration-track Author of DeepGini: Prioritizing Massive Tests to Enhance the Robustness of Deep Neural Networks within the Technical Papers-track
ESEC/FSE 2020	Author of Unveiling Elite Developers’ Activities in Open Source Projects within the Journal First-track
ICSE 2021	Author of Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing within the Technical Track-track Committee Member in Program Committee within the Demonstrations-track Author of PyART: Python API Recommendation in Real-Time within the Technical Track-track
ASE 2019	Author of NeuralVis: Visualizing and Interpreting Deep Learning Models within the Demonstrations-track Author of LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform within the Demonstrations-track
ISSTA 2019	Author of CTRAS: A Tool for Aggregating and Summarizing Crowdsourced Test Reports within the Tool Demonstration-track
ICGSE 2019	Proceedings Chair in Organizing Committee
ICSE 2020	Author of A Comprehensive Study of Autonomous Vehicle Bugs within the Technical Papers-track Author of Smart Contract Development: Challenges and Opportunities within the Journal First-track Author of Impact Analysis of Cross-Project Bugs on Software Ecosystems within the Technical Papers-track
ICSE 2019	Author of How Practitioners Perceive Automated Bug Report Management Techniques within the Journal-First Papers-track Author of CTRAS: Crowdsourced Test Report Aggregation and Summarization within the Technical Track-track
ICPC 2018	Author of Hierarchical Abstraction of Execution Traces for Program Comprehension within the Technical Research-track
ESEC/FSE 2018	Author of Successes, Challenges, and Rethinking – An Industrial Investigation on Crowdsourced Mobile Application Testing within the Journal-First-track