TechDebt 2023
Sun 14 - Mon 15 May 2023 Melbourne, Australia
co-located with ICSE 2023
Xin Xia

Registered user since Wed 1 Nov 2017

Name:Xin Xia
Bio:

I am the Director of the Software Engineering Application Technology Lab at Huawei, China. Prior to joining Huawei, I was an ARC DECRA Fellow and a lecturer (equivalent to U.S. assistant professor) at the Faculty of Information Technology, Monash University, Australia, from 2018 to 2021. I got my Ph.D degree in June 2014 from the College of Computer Science and Technology, Zhejiang University, China. I was very fortunate to work under the supervision of Prof. Xiaohu Yang and Prof. Jianling Sun. From July 2012 to January 2014, I was a visiting student of Prof. David Lo in Singapore Management University.

To help developers and testers improve their productivity, my current research focuses on data science for software engineering, i.e., mining and analyzing rich data in software repositories to uncover interesting and actionable information. I have employed and customized structured and unstructured data analytics techniques – including data mining, information retrieval, natural language processing, search-based algorithms, and program analysis – to transform passive software engineering data into automated tools and new insights.

Country:China
Affiliation:Huawei
Research interests:Software Engineering; Mining Software Repositories; Software Analytics

Contributions

MSR 2023 Committee Member in Program Committee within the Technical Papers-track
ICSE 2023 Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence
Chair in Demonstrations within the DEMO - Demonstrations-track
Committee Member in Software Engineering in Practice within the SEIP - Software Engineering in Practice-track
CoLeFunDa: Explainable Silent Vulnerability Fix Identification
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back
Predictive Comment Updating with Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach
Formal Research Demonstrations Co-Chairs in Organising Committee
Correlating Automated and Human Evaluation of Code Documentation Generation Quality
Committee Member in Software Engineering in Society within the SEIS - Software Engineering in Society-track
Fine-grained Commit-level Vulnerability Type Prediction By CWE Tree Structure
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics
RepresentThemAll: A Universal Learning Representation of Bug Reports
CAIN 2023 PC Member in Program Committee
ICPC 2023 PC Member in Program Committee within the Research-track
TechDebt 2023 Program Co-Chair in Technical Papers within the Technical Papers-track
Program Co-Chair in Organizing Committee
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