Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Software product lines are families of products defined by feature commonality and variability, with a well-managed asset base. Recent work in testing of software product lines ha...
This paper presents Resist, a recursive test pattern generation (TPG) algorithm for path delay fault testing of scan-based circuits. In contrast to other approaches, it exploits t...
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
This article proposes a research agenda aimed at enabling optimized testing and analysis processes and tools to support component-based software development communities. We hypoth...