Over the past several decades, the compiler research community has developed a number of sophisticated and powerful algorithms for a varierty of code improvements. While there are...
Bruce R. Childers, Jack W. Davidson, Mary Lou Soff...
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
With the growing economic importance of open source, we need to improve our understanding of how open source software development processes work. The analysis of code contribution...
A multiple display environment (MDE) networks personal and shared devices to form a virtual workspace, and designers are just beginning to grapple with the challenges of developing...
Brian P. Bailey, Jacob T. Biehl, Damon J. Cook, He...
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...