Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
Caches are crucial components in modern processors (both stand-alone or integrated into SoCs) and their test is a challenging task, especially when addressing complex and high-fre...
Wilson J. Perez, Danilo Ravotto, Edgar E. Sá...
The paper addresses the problem of test derivation from partially defined specifications. A specification is modeled by an Input/Output FSM such that transitions from some states ...
—Model-based testing is a well known technique that allows one to validate the correctness of software with respect to its model. If a lot of data is involved, symbolic technique...
—In this case study we test a landing gear control system of a military aircraft with the new version of LUTESS, a tool for testing automatically synchronous software. LUTESS req...
Laya Madani, Virginia Papailiopoulou, Ioannis Pari...