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Heng Li
B.Eng. (Sun Yat-sen), M.Sc. (Fudan), Ph.D. (Queen’s), Postdoc (Queen’s)

Phone: (514) 340-4711 Ext. 4238 Fax: (514) 340-5139 Room: M-4121
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Student research project(s)

Research interests and affiliations

Research interests
  • Software engineering
  • Software maintenance and evolution
  • DevOps & AIOps
  • Software logging & log analytics
  • Software performance engineering
  • Mining software repositories
  • Machine learning & data mining
  • AI software engineering
Expertise type(s) (NSERC subjects)
  • 2705 Software and development
  • 2706 Software engineering
  • 2720 Computer systems software

Publications

Recent publications
Journal article
Li, H., Shang, W., Adams, B., Sayagh, M. & Hassan, A.E. (2020). A qualitative study of the benefits and costs of logging from developers' perspectives. IEEE Transactions on Software Engineering, 17 pages. Retrieved from https://doi.org/10.1109/TSE.2020.2970422
Journal article
Yao, K., Li, H., Shang, W. & Hassan, A.E. (2020). A study of the performance of general compressors on log files. Empirical Software Engineering, 25(5), 3043-3085. Retrieved from https://doi.org/10.1007/s10664-020-09822-x
Journal article
Dai, H., Li, H., Chen, C.-S., Shang, W. & Chen, T.-H. (2020). Logram: Efficient log parsing using n-gram dictionaries. IEEE Transactions on Software Engineering, 14 pages. Retrieved from https://doi.org/10.1109/TSE.2020.3007554
Journal article
Li, Y., Jiang, Z.M.J., Li, H., Hassan, A.E., He, C., Huang, R., Zeng, Z., Wang, M. & Chen, P. (2020). Predicting node failures in an ultra-large-scale cloud computing platform: An AIOps solution. ACM Transactions on Software Engineering and Methodology, 29(2), 13:1-13:24. Retrieved from https://doi.org/10.1145/3385187

Biography

Heng Li leads the Maintenance, Operations and Observation of Software with intelligencE (MOOSE) lab at Polytechnique Montréal. The mission of MOOSE is to support intelligent maintenance, operations, and observation of large and complex software systems. Heng Li received his Ph.D. in Computing from Queen’s University in 2018. At Queen’s University, he worked as a PhD student and later as a Postdoctoral Fellow with the NSERC/RIM Industrial Research Chair in Software Engineering in the Software Analysis and Intelligence Lab (SAIL). He also obtained his B.Eng. from Sun Yat-sen University (China) and M.Sc. from Fudan University (China). He has several years of experience working in the industry (Synopsys, BlackBerry) doing software development and research. To know more about his research, please visit https://www.hengli.org/publications/.

Teaching

  • LOG8371E – Software Quality Engineering

Education