TechDebt 2022
Sun 22 - Mon 23 May 2022 Pennsylvania, United States
co-located with ICSE 2022
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 Software Engineering Application Technology Lab
Research interests:Software Engineering; Mining Software Repositories; Software Analytics

Contributions

CAIN 2022 Committee Member in Program Committee within the CAIN 2022-track
TechDebt 2022 Tool Demo Co-Chair in Organizing Committee
Tools Co-Chair in Tools Track Committee within the Tools Track-track
MSR 2022 Committee Member in Program Committee within the Technical Papers-track
Data/Tool Showcase Co-Chair in Organizing Committee
Data/Tool Showcase Co-Chair in Data Showcase Committee within the Data and Tool Showcase Track-track
ICPC 2022 Committee Member in Program Committee within the Research-track
ICSE 2022 Committee Member in Program Committee within the NIER - New Ideas and Emerging Results-track
Practitioners’ Expectations on Automated Code Comment Generation
Committee Member in Program Committee within the SEIP - Software Engineering in Practice-track
SZZ for Vulnerability: Automatic Identification of Version Ranges Affected by CVE Vulnerabilities
ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion
A Universal Data Augmentation Approach for Fault Localization
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