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cs.SE2024★ 1 cited
Preprocessing is All You Need: Boosting the Performance of Log Parsers With a General Preprocessing Framework
Qiaolin Qin, Roozbeh Aghili, Heng Li +1
Log parsing has been a long-studied area in software engineering due to its importance in identifying dynamic variables and constructing log templates. Prior work has proposed many…
cs.SE2024
Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection
Qiaolin Qin, Heng Li, Ettore Merlo +1
With the advent of data-centric and machine learning (ML) systems, data quality is playing an increasingly critical role in ensuring the overall quality of software systems. Data p…
cs.DB2024
Wrangling Data Issues to be Wrangled: Literature Review, Taxonomy, and Industry Case Study
Qiaolin Qin, Heng Li, Ettore Merlo
Data quality is vital for user experience in products reliant on data. As solutions for data quality problems, researchers have developed various taxonomies for different types of…