24 citations · 37 across the 7 of their papers we have counts for
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cs.LG2023
Log-based Anomaly Detection of Enterprise Software: An Empirical Study
Nadun Wijesinghe, Hadi Hemmati
Most enterprise applications use logging as a mechanism to diagnose anomalies, which could help with reducing system downtime. Anomaly detection using software execution logs has b…
cs.CL2023★ 12 cited
Assessing Evaluation Metrics for Neural Test Oracle Generation
Jiho Shin, Hadi Hemmati, Moshi Wei +1
In this work, we revisit existing oracle generation studies plus ChatGPT to empirically investigate the current standing of their performance in both NLG-based and test adequacy me…
cs.SE2023★ 24 cited
Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code
Jiho Shin, Clark Tang, Tahmineh Mohati +3
The rapid advancements in large language models (LLMs) have greatly expanded the potential for automated code-related tasks. Two primary methodologies are used in this domain: prom…