Concurrency is an essential element of abstract models for embedded systems. Correctness and e ciency of the design depend critically on the way concurrency is formalized and imple...
Alberto L. Sangiovanni-Vincentelli, Marco Sgroi, L...
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
In the area of testing communication systems, the interfaces between systems to be tested and their testers have great impact on test generation and fault detectability. Several t...
Gang Luo, Rachida Dssouli, Gregor von Bochmann, Pa...
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...
Charles Bergeron, Jed Zaretzki, Curt M. Breneman, ...