3 papers
cs.SE2026
Large Language Models for Fuzz Testing in Microservices: A Systematic Literature Review
Ying Song, Ke Ping, Yuqing Wang +1
Microservice systems (MSS) increasingly rely on heterogeneous APIs whose combinatorial input space and stateful dependencies challenge traditional fuzz testing. Meanwhile, Large La…
cs.SE2026
A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection
Yuqing Wang, Ying Song, Xiaozhou Li +2
Recent deep learning (DL) methods for log anomaly detection increasingly rely on semantic log representation methods that convert the textual content of log events into vector embe…
cs.SE2026
PPTAM: Energy Aware CI/CD Pipeline for Container Based Applications
Alessandro Aneggi, Xiaozhou Li, Andrea Janes
Modern container-based microservices evolve through rapid deployment cycles, but CI/CD pipelines still rarely measure energy consumption, even though prior work shows that design p…