1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
A test pattern generator (TPG) for built-in self-test (BIST), which can reduce switching activity during test application, is proposed. The proposed TPG, called dual-speed LFSR (DS...
The method of evolutionary functional testing allows for the automation of testing by transforming test case design into an optimization problem. To this end it is necessary to def...
For deep sub-micron system-on-chips (SoC), interconnects are critical determinants of performance, reliability and power. Buses and long interconnects being susceptible to crossta...
We present an Immune Inspired Algorithm, based on CLONALG, for software test data evolution. Generated tests are evaluated using the mutation testing adequacy criteria, and used to...