Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-5229-4982
Scopus Author ID: 56879625500
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Dive into the research topics where Zhendong SHI is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Comparing learning to rank techniques in hybrid bug localization
Shi, Z., Keung, J., Bennin, K. E. & Zhang, X., Jan 2018, In: Applied Soft Computing Journal. 62, p. 636-648Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
35 Link opens in a new tab Citations (Scopus) -
A Strategy to Determine When to Stop Using Automatic Bug Localization
Shi, Z., Keung, W. J., Bennin, K. E., Limsettho, N. & Song, Q., 13 Jun 2016, p. 185-190.Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review
3 Link opens in a new tab Citations (Scopus) -
An empirical study of BM25 and BM25F based feature location techniques
Shi, Z., Keung, J. & Song, Q., 16 Nov 2014, International Workshop on Innovative Software Development Methodologies and Practices, InnoSWDev 2014 - Proceedings. Association for Computing Machinery, p. 106-114Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
23 Link opens in a new tab Citations (Scopus)
Thesis
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Research on Methods in Locating Software Features and Bugs
SHI, Z. (Author), KEUNG, J. (Supervisor) & Song, Q. (External Supervisor), 23 Jul 2018Student thesis: Doctoral Thesis