World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
19899
World Ranking
1101
National Ranking
158

Overview

Tao Xie is affiliated with Peking University in China and has contributed extensively to the field of computer science, with a primary focus on software and its related subfields. Their research covers areas including software testing and debugging techniques, software engineering research, and software reliability and analysis. Additionally, Tao Xie's work addresses software system performance and reliability, adversarial robustness in machine learning, advanced malware detection techniques, and advanced graph neural networks.

Their publications span a range of venues, with significant contributions to arXiv (Cornell University), Software Testing Verification and Reliability, and ACM Transactions on Software Engineering and Methodology. Other notable venues include the SSRN Electronic Journal and the 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE).

Frequently collaborating with several researchers, Tao Xie's coauthors include Robert M. Hierons, Dezhi Ran, Qianxiang Wang, Zibin Zheng, and Wing Lam.

Among Tao Xie's recent papers are:

  • Adversarial Attack on Large Scale Graph, 2021, IEEE Transactions on Knowledge and Data Engineering
  • Enjoy your observability: an industrial survey of microservice tracing and analysis, 2021, Empirical Software Engineering
  • Groot: An Event-graph-based Approach for Root Cause Analysis in Industrial Settings, 2021, 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • A Survey of Adversarial Learning on Graphs, 2020, arXiv (Cornell University)
  • A large-scale longitudinal study of flaky tests, 2020, Proceedings of the ACM on Programming Languages

Best Publications

  • An approach to detecting duplicate bug reports using natural language and execution information

    Xiaoyin Wang;Lu Zhang;Tao Xie;John Anvik

  • Parseweb: a programmer assistant for reusing open source code on the web

    Suresh Thummalapenta;Tao Xie

  • MAPO: Mining and Recommending API Usage Patterns

    Hao Zhong;Tao Xie;Lu Zhang;Jian Pei

  • WHYPER: towards automating risk assessment of mobile applications

    Rahul Pandita;Xusheng Xiao;Wei Yang;William Enck

  • A grey-box approach for automated GUI-model generation of mobile applications

    Wei Yang;Mukul R. Prasad;Tao Xie

  • Symstra: a framework for generating object-oriented unit tests using symbolic execution

    Tao Xie;Darko Marinov;Wolfram Schulte;David Notkin

  • Mining API patterns as partial orders from source code: from usage scenarios to specifications

    Mithun Acharya;Tao Xie;Jian Pei;Jun Xu

  • Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study

    Xiang Zhou;Xin Peng;Tao Xie;Jun Sun

  • Fitness-guided path exploration in dynamic symbolic execution

    Tao Xie;Nikolai Tillmann;Jonathan de Halleux;Wolfram Schulte

  • MAPO: mining API usages from open source repositories

    Tao Xie;Jian Pei

  • AppContext: differentiating malicious and benign mobile app behaviors using context

    Wei Yang;Xusheng Xiao;Benjamin Andow;Sihan Li

  • DSD-Crasher: A hybrid analysis tool for bug finding

    Christoph Csallner;Yannis Smaragdakis;Tao Xie

  • Where do developers log? an empirical study on logging practices in industry

    Qiang Fu;Jieming Zhu;Wenlu Hu;Jian-Guang Lou

  • Inferring Resource Specifications from Natural Language API Documentation

    Hao Zhong;Lu Zhang;Tao Xie;Hong Mei

  • Latent error prediction and fault localization for microservice applications by learning from system trace logs

    Xiang Zhou;Xin Peng;Tao Xie;Jun Sun

  • Identifying security bug reports via text mining: An industrial case study

    Michael Gegick;Pete Rotella;Tao Xie

  • How do software engineers understand code changes?: an exploratory study in industry

    Yida Tao;Yingnong Dang;Tao Xie;Dongmei Zhang

  • Mining succinct and high-coverage API usage patterns from source code

    Jue Wang;Yingnong Dang;Hongyu Zhang;Kai Chen

  • A fault model and mutation testing of access control policies

    Evan Martin;Tao Xie

  • Rostra: a framework for detecting redundant object-oriented unit tests

    Tao Xie;D. Notkin;D. Marinov

  • Data Mining for Software Engineering

    Tao Xie;S. Thummalapenta;D. Lo;Chao Liu

Frequent Co-Authors

Nikolai Tillmann
Nikolai Tillmann Facebook (United States)
Hong Mei
Hong Mei Peking University
Dongmei Zhang
Dongmei Zhang Microsoft (United States)
Lu Zhang
Lu Zhang Peking University
David Notkin
David Notkin University of Washington
Xuanzhe Liu
Xuanzhe Liu Peking University
Jian-Guang Lou
Jian-Guang Lou Microsoft (United States)
Wolfram Schulte
Wolfram Schulte Microsoft (United States)
Darko Marinov
Darko Marinov University of Illinois at Urbana-Champaign
Gang Huang
Gang Huang Peking University

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