Automatic test data generation leads to the identification of input values on which a selected path or a selected branch is executed within a program (path-oriented vs goalorient...
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
Software products released into the field typically have some number of residual defects that either were not detected or could not have been detected during testing. This may be...
Christian Murphy, Gail E. Kaiser, Ian Vo, Matt Chu
In the paper, an evolutionary approach to test generation for functional BIST is considered. The aim of the proposed scheme is to minimize the test data volume by allowing the dev...
Y. A. Skobtsov, D. E. Ivanov, V. Y. Skobtsov, Raim...
We optimize the full-response diagnostic fault dictionary from a given test set. The smallest set of vectors is selected without loss of diagnostic resolution of the given test se...