Automated techniques to diagnose the cause of system failures based on monitoring data is an active area of research at the intersection of systems and machine learning. In this p...
Abstract In this paper we question the problem of a software engineering researcher, who in his daily work, has to deal with researching, teaching and learning activities at the sa...
We describe three case studies in the use of Basic LOTOS. The studies cover design recovery, requirements speci cation, and design activities. We also report lessons learned from ...
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
The second Visual Analytics Science and Technology (VAST) contest's data consisted of a heterogeneous synthetic collection of news articles with additional supporting files a...