1 citations · 1 across the 3 of their papers we have counts for
3 papers
Learning from what we know: How to perform vulnerability prediction using noisy historical data
Aayush Garg, Renzo Degiovanni, Matthieu Jimenez +3
Vulnerability prediction refers to the problem of identifying system components that are most likely to be vulnerable. Typically, this problem is tackled by training binary classif…
Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies
Milos Ojdanic, Aayush Garg, Ahmed Khanfir +3
Fault seeding is typically used in controlled studies to evaluate and compare test techniques. Central to these techniques lies the hypothesis that artificially seeded faults invol…
Scalable Object Detection for Stylized Objects
Aayush Garg, Thilo Will, William Darling +2
Following recent breakthroughs in convolutional neural networks and monolithic model architectures, state-of-the-art object detection models can reliably and accurately scale into…