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Personal profile

Biography

I am a lecturer (equivalent to U.S. assistant professor) at the Faculty of Information Technology, Monash University, Australia. Prior to joining Monash University, I was a post-doctoral research fellow in the software practices lab at the University of British Columbia in Canada, with a specialization in software analytics and mining software repositories. My advisors are Prof. Gail C. Murphy and Prof. Reid Holmes. From 2014 to 2017, I was a research assistant professor at College of Computer Science and Technology, Zhejiang University, China.

I got my Ph.D degree in June 2014 from 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 Universiy.

To help developers and testers improve their productivity, my current research focuses on 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.

For more details, please refer to my external personal website.

Research area keywords

  • Mining Software Repositories
  • Software Analytics
  • Empirical Software Engineering

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2022

Research Output 2011 2019

ActionNet: vision-based workflow action recognition from programming screencasts

Zhao, D., Xing, Z., Chen, C., Xia, X. & Li, G., 2019, Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019. Bultan, T. & Whittle, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 350-361 12 p. 8811922

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

A large scale study of long-time contributor prediction for GitHub projects

Bao, L., Xia, X., Lo, D. & Murphy, G. C., 23 May 2019, (Accepted/In press) In : IEEE Transactions on Software Engineering. 22 p.

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

A two-phase transfer learning model for cross-project defect prediction

Liu, C., Yang, D., Xia, X., Yan, M. & Zhang, X., Mar 2019, In : Information and Software Technology. 107, p. 125-136 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Automatic, highly accurate app permission recommendation

Liu, Z., Xia, X., Lo, D. & Grundy, J., Jun 2019, In : Automated Software Engineering. 26, 2, p. 241-274 34 p.

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Automating change-level self-admitted technical debt determination

Yan, M., Xia, X., Shihab, E., Lo, D., Yin, J. & Yang, X., 2019, (Accepted/In press) In : IEEE Transactions on Software Engineering. 18 p.

Research output: Contribution to journalArticleResearchpeer-review