Jie M. Zhang -

Registered user since Wed 2 Jan 2019

Name: Jie M. Zhang

Country: United Kingdom

Affiliation: University College London, UK

Personal website: https://sites.google.com/view/jie-zhang

Research interests: software testing

Contributions

ASE 2020	Committee Member in Program Committee within the Late Breaking Results-track Committee Member in Program Committee within the Student Research Competition-track Committee Member in Program Committee within the Research Papers-track Committee Member in Program Committee within the Tool Demonstrations-track
AST 2020	Committee Member in Program Committee within the AST 2020-track
ISSTA 2020	Committee Member in Program Committee within the Technical Papers-track
ESEC/FSE 2020	Author of FrUITeR: A Framework for Evaluating UI Test Reuse within the Research Papers-track Committee Member in Program Committee within the Tool Demos-track Committee Member in Program Committee within the Research Papers-track
Celebration of ASE 2019	Author of Machine Learning Testing within the Celebration of ASE 2019-track
ASE 2019	Session Chair of Student Research Competition - Selected Presentations (Undergraduate) (part of Student Research Competition) Session Chair of Student Research Competition - Selected Presentations (Graduate) (part of Student Research Competition) Committee Member in Program Committee within the Research Papers-track Track Chair in Program Committee within the Student Research Competition-track Student Research Competition Co-Chair in Organizing Committee
Diversity @ ISSTA - The Ada Workshop	Author of Panel: Regarding Communication within the Tentative Agenda-track Panelist of Panel: Regarding Communication within the Ada Workshop-track Author of Networking and Job Search within the Tentative Agenda-track
ICSE 2020	Author of A Study of Bug Resolution Characteristics in Popular Programming Languages within the Journal First-track Author of Automatic Testing and Improvement of Machine Translation within the Technical Papers-track
ICSE 2019	Author of FastDroid: Efficient Taint Analysis for Android Applications within the Posters-track