47 citations · 51 across the 8 of their papers we have counts for
8 papers
Trading Off Scalability, Privacy, and Performance in Data Synthesis
Xiao Ling, Tim Menzies, Christopher Hazard +2
Synthetic data has been widely applied in the real world recently. One typical example is the creation of synthetic data for privacy concerned datasets. In this scenario, synthetic…
On the Benefits of Semi-Supervised Test Case Generation for Simulation Models
Xiao Ling, Tim Menzies
Testing complex simulation models can be expensive and time consuming. Current state-of-the-art methods that explore this problem are fully-supervised; i.e. they require that all e…
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
Zhuangbin Chen, Jinyang Liu, Yuxin Su +4
To ensure the performance of online service systems, their status is closely monitored with various software and system metrics. Performance anomalies represent the performance deg…
What Not to Test (for Cyber-Physical Systems)
Xiao Ling, Tim Menzies
For simulation-based systems, finding a set of test cases with the least cost by exploring multiple goals is a complex task. Domain-specific optimization goals (e.g. maximize outpu…
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text
Maya Varma, Laurel Orr, Sen Wu +3
Named entity disambiguation (NED), which involves mapping textual mentions to structured entities, is particularly challenging in the medical domain due to the presence of rare ent…
Graph-based Incident Aggregation for Large-Scale Online Service Systems
Zhuangbin Chen, Jinyang Liu, Yuxin Su +5
As online service systems continue to grow in terms of complexity and volume, how service incidents are managed will significantly impact company revenue and user trust. Due to the…
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems
Tianyi Yang, Jiacheng Shen, Yuxin Su +3
Service reliability is one of the key challenges that cloud providers have to deal with. In cloud systems, unplanned service failures may cause severe cascading impacts on their de…
How Different is Test Case Prioritization for Open and Closed Source Projects?
Xiao Ling, Rishabh Agrawal, Tim Menzies
Improved test case prioritization means that software developers can detect and fix more software faults sooner than usual. But is there one "best" prioritization algorithm? Or do…