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Weiyi Shang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SE3
  • cs.DB1
ORCID 0000-0001-6222-7444
same name
  • Weiyi Shang — 7 papers, h 39
  • Weiyi Shang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEarly Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SE2024★ 1 cited

Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models

Lizhi Liao, Simon Eismann, Heng Li +4

During software development, developers often make numerous modifications to the software to address existing issues or implement new features. However, certain changes may inadver…

cs.DB2024

Automatic String Data Validation with Pattern Discovery

Xinwei Lin, Jing Zhao, Peng Di +7

In enterprise data pipelines, data insertions occur periodically and may impact downstream services if data quality issues are not addressed. Typically, such problems can be invest…

cs.SE2023

Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages

Zhenhao Li, An Ran Chen, Xing Hu +3

Developers write logging statements to generate logs that provide run-time information for various tasks. The readability of log messages in the logging statements (i.e., the descr…

cs.SE2023

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction

Zhenhao Li, Chuan Luo, Tse-Hsun Chen +4

Due to the sheer size of software logs, developers rely on automated techniques for log analysis. One of the first and most important steps of automated log analysis is log abstrac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.