Xutong Liu, PhD

Email: X.Liu-14@tudelft.nl
ORCID: 0000-0002-3831-5505
Google Scholar: Xutong Liu
Affiliation: Software Engineering Research Group at TU Delft
Address: 2628 XE, Delft, The Netherlands

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Current Interests

I am currently a postdoctoral researcher in the Software Engineering Research Group at TU Delft. My research interests focus on software quality assurance, specifically in software testing and defect prediction. Prior to this, I pursued my Ph.D. at Nanjing University, where my PhD thesis was titled "Towards a reliable evaluation of actual effectiveness of defect prediction models." My PhD supervisor was Professor Yuming Zhou.

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Education

Ph.D. in Computer Science
Nanjing University (2019 - 2024)

Bachelor in Software Engineering
Dalian University of Technology (2015 - 2019)

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Publications

• Towards a framework for reliable performance evaluation in defect prediction (2024)
  Science of Computer Programming
  DOI: 10.1016/j.scico.2024.103164
• Unveiling the impact of unchanged modules across versions on the evaluation of within‐project defect prediction models (2024)
  Journal of Software: Evolution and Process
  DOI: 10.1002/smr.2715
• Deep learning or classical machine learning? An empirical study on line‐level software defect prediction (2024)
  Journal of Software: Evolution and Process
  DOI: 10.1002/smr.2696
• Assessing Effectiveness of Test Suites: What Do We Know and What Should We Do? (2024)
  ACM Transactions on Software Engineering and Methodology
  DOI: 10.1145/3635713
• Cross‐version defect prediction using threshold‐based active learning (2024)
  Journal of Software: Evolution and Process
  DOI: 10.1002/smr.2563
• Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities (2023)
  IEEE Transactions on Software Engineering
  DOI: 10.1109/TSE.2023.3329667
• Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go? (2023)
  ACM Transactions on Software Engineering and Methodology
  DOI: 10.1145/3582572
• Mutant Reduction Evaluation: What is There and What is Missing? (2022)
  ACM Transactions on Software Engineering and Methodology
  DOI: 10.1145/3522578