From the 1 of 9 linked papers with an AI index.
9 papers
Fault Injection in OpenAPI Specifications for Evaluating Black-Box Testing Effectiveness
Hamza Bin Mazhar, Yuqing Wang, Mika V. Mäntylä
The paper introduces a taxonomy of OpenAPI specification faults, injects them into microservice APIs, and measures how these faults affect the performance of black‑box testing tool…
Towards LLM Accelerated Rapid Reviews for Software Tool Discovery -- Case for Log Anomaly Detection
Jesse Nyyssölä, Hamza Bin Mazhar, Alexander Bakhtin +6
In software engineering research, the primary outcome is frequently a tool. However, for practitioners and academics alike, it is hard to tell which tools are maintained and do the…
LATS-RCA: Language Agent Tree Search for Root Cause Analysis in Microservices
Alexander Naakka, Yuqing Wang, Mika V Mäntylä
Recent advances in large language models (LLMs) have enabled early attempts to automate root cause analysis (RCA) in microservice systems (MSS). However, existing approaches typica…
Assessing REST API Test Generation Strategies with Log Coverage
Nana Reinikainen, Mika Mäntylä, Yuqing Wang
Assessing the effectiveness of REST API tests in black-box settings can be challenging due to the lack of access to source code coverage metrics and polyglot tech stack. We propose…
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…
AnoMod: A Dataset for Anomaly Detection and Root Cause Analysis in Microservice Systems
Ke Ping, Hamza Bin Mazhar, Yuqing Wang +2
Microservice systems (MSS) have become a predominant architectural style for cloud services. Yet the community still lacks high-quality, publicly available datasets for anomaly det…