Jie M. Zhang (张洁)

Research Fellow, CREST, UCL, UK.

Email: jie.zhang@ucl.ac.uk

Links: CV Google Scholar


  • May 19th. "FrUITeR - A 𝐅𝐫amework for Evaluating 𝐔𝐈 𝐓𝐞st 𝐑euse " (by Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie M. Zhang, Federica Sarro, Mark Harman, Nenad Medvidović) is accepted to FSE2020.

  • May 19th. APSEC 2020 is calling for papers, welcome to submit your papers!

  • May 17th. STVR special issue: Mutation Analysis and Its Industrial Applications is calling for papers! Welcome to submit your papers!

  • Feb 25th, 2020. I was invited to give a talk at Dagstuhl Seminar SE4ML: Software Testing for Machine Learning.

  • Feb 13th, 2020. Invited talk at Facebook London: Perturbation Validation: A New Heuristic to Validate Machine Learning Models.

  • Dec 8th, 2019. "Automatic Testing and Improvement of Machine Translation" (by Zeyu Sun, Jie M. Zhang (co-first author), Mark Harman, Mike Papadakis, Lu Zhang) has been accepted by ICSE2020.

  • Nov 25th, 2019. "Machine Learning Testing: Survey, Landscapes and Horizons" (by Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu) has been fully accepted by TSE (with one round of minor revision).

  • Oct 10th, 2019. Our paper "A Study of Programming Languages and Their Bug Resolution Characteristics" has been accepted by TSE (with one round of revision).

  • June 26th, 2019. Our survey Machine Learning Testing: Survey, Landscapes and Horizons is on arXiv. Any comments are welcome!

  • I am invited to give a talk at Queen Mary University on Machine Learning Testing, on June 26th, 2019 [slides].

  • I am invited to give a talk at Ada Workshop co-located with ISSTA 2019 in July [slides].

  • I am invited to give a talk at SEMLA 2019 about Machine Learning Testing on May 23-24th [slides].

  • Feb 12, 2019. One paper accepted by Mutation19: An Empirical Comparison of Mutant Selection Assessment Metrics, by Jie M. Zhang, Lingming Zhang, Dan Hao, Lu Zhang, Mark Harman

  • Dec 18, 2018. One paper accepted by ICST 2019: Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness? by Jie Zhang, Lingming Zhang, Dan Hao, Meng Wang, Lu Zhang.

  • One paper accepted by FSE 2018 industry track: Automated Refactoring of Nested-IF Formulae in Spreadsheets, by Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang

  • I got the Outstanding PHD Graduate Award at Peking University

Research Interest

My research focus is to build more channels between SE and AI to make each community benefit more from the other. My past research has applied AI to SE, i.e., to use search-based techniques to automatically infer test oracles (ASE 2014), and to use machine learning techniques to automatically predicting the program behaviours (ISSTA 2016, TSE 2018). Currently, I am trying to combine my expertise in SE (e.g., code mutation and metamorphic testing) and AI (e.g., search algorithms) to improve automatic program debugging, as well as to apply SE methodology to AI to detect overfitting.

I mainly work with Prof. Mark Harman.

My Ph.D advisors at Peking University were Prof. Lu Zhang and Prof. Dan Hao


2021: Publicity chair of ICSME 2021

2020: Guest editor of STVR special issue

PC member of ASE 2020

PC member of FSE 2020

PC member of ISSTA 2020

Co-chair of Mutation 2020

PC member of AST 2020

PC member of SBST 2020

PC member of ICST 2020 testing tools track & poster track

2019: PC member of ASE 2019

Co-chair of ASE 2019 SRC

PC member of ICSME (short paper track)

PC member of Mutation 2019

PC member of SBST 2019

2018: PC member of Mutation 2018;

Reviewer of ACM Transactions on Software Engineering and Methodology

Reviewer of IEEE Transactions on Software Engineering;

Reviewer of IEEE Transactions on Reliability;

Reviewer of STVR;

Reviewer of IET Software

2017: PC member of Mutation 2017; Reviewer of STVR, JCST

2017: Student volunteer of ICSME 2017, in Shanghai, China

2016: Student volunteer of FSE 2016, in Seatle, U.S.A

Major Research Experience

PHD student | Sep, 2015 – June, 2018 | GOSTA, Peking University, China | Supervisor : Lu Zhang and Dan Hao

Intern | June,2017-December, 2017 | Software Analysis group, Microsoft Research Asia, China | Mentor: Shi Han

Visiting student | Sep, 2016–Dec, 2016 | CREST, University College London, UK | Supervisor : Mark Harman

Honors and Awards

2018 Outstanding PHD Graduate Award, Peking University

2017 Top-ten Research Excellence Award, EECS, Peking University

2016 Fellowship at Microsoft Research Asia

2016 Lee Wai Wing Scholarship at Peking University

2015 National Scholarship

2015 Award for Scientific Research

2014 Learning Scholarship at Peking University

2014 Award for Scientific Research

2014 Innovation Award at Peking University

2013 Learning Excellence Award at Peking University