(1) Initialize CUT = 1
(2) while ( ) and (CUT < )  do
(3)  The configurations under test in SFH method are selected in a round-robin manner
   Designate the CUT as active configuration, and RS as slack. Then, the pair under test is given by: = {CUT, RS}
(4)  Perform concurrent comparison to the same inputs for various edges of the graph represented by connectivity
(5)  The comparison outcome in SFH method is binary. A 1 corresponds to discrepant behavior while a 0 corresponds
   to healthy configurations
   Update the Syndrome Matrix based upon comparisons outcome during an evaluation interval
(6)  Increment the reload number
(7)  Given , isolate the faulty nodes:
    and , if , and
    if , , and
(8) end while
(9) A healthy configuration can check the health of other configuration when instantiated concurrently for discrepancy check.
  Use a healthy identified configuration to test all other configurations
Algorithm 2: SFH state transition algorithm for functional diagnosis of configurations.