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ASE 2021
Sun 14 - Sat 20 November 2021 Australia
Xin Xia

Registered user since Wed 1 Nov 2017

Name:Xin Xia

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.

Affiliation:Huawei Software Engineering Application Technology Lab
Research interests:Software Engineering; Mining Software Repositories; Software Analytics


ASE 2021 Committee Member in Program Committee within the Research Papers-track
Automating User Notice Generation for Smart Contract Functions
Committee Member in Program Committee within the Student Research Competition-track
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization
Automating Developer Chat Mining
Detecting Adversarial Samples with Graph-Guided Testing
Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph
Workshops Co-Chair in Workshops Chairs within the Workshops-track
Workshops Co-Chair in Organizing Committee
Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes
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