An efficient crosstalk target identification framework called XIDEN has been developed that is used prior to the computationally expensive processes of crosstalk validation and test generation. XIDEN is mainly composed of a set of extractors and filters that together identify the prime crosstalk targets. These prime targets include all error producing targets, i.e. targets that can potentially create Boolean errors. A methodology has been developed to determine the sequence of extractors and filters to identify a small set of targets with low computational cost. The effects of process variation and extraction accuracy as well as complexity are considered in XIDEN. After performing a training process on sample circuits, XIDEN produces a set of effective extractor filter sequences to be used for production circuits.