1 citations · 1 across the 7 of their papers we have counts for
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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…
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…
Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study
Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda +3
Code reviews are an integral part of software development and have been recognized as a crucial practice for minimizing bugs and favouring higher code quality. They serve as an imp…
Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization
Roozbeh Aghili, Qiaolin Qin, Heng Li +1
Web applications, accessible via web browsers over the Internet, facilitate complex functionalities without local software installation. In the context of web applications, a workl…
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…