Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
This paper argues for an implicitly parallel programming model for many-core microprocessors, and provides initial technical approaches towards this goal. In an implicitly paralle...
Wen-mei W. Hwu, Shane Ryoo, Sain-Zee Ueng, John H....
Recently, the Internet revolutionized many activities from entertainment to marketing and business. Two key underlying Internet technologies, efficient data delivery and hypertext...
In this paper, we propose a technique for leveraging historical field failure records in conjunction with automated static analysis alerts to determine which alerts or sets of ale...
Mark Sherriff, Sarah Smith Heckman, J. Michael Lak...
This paper presents a novel approach for automated test data generation of imperative programs containing integer, boolean and/or float variables. It extends our previous work to ...