We introduce and validate bootstrap techniques to compute confidence intervals that quantify the effect of test-collection variability on average precision (AP) and mean average...
—Straightforward implementations of cryptographic algorithms are known to be vulnerable to attacks aimed not at the mathematical structure of the cipher but rather at the weak po...
In many industries, the share of software components provided by third-party suppliers is steadily increasing. As the suppliers seek to secure their intellectual property (IP) righ...
The widespread use of mobile and wireless computing platforms is leading to a growing interest on dependability issues. Several research studies have been conducted on dependabili...
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...