Package org.javers.core.diff.appenders.levenshtein Description
The idea is based on calculating the Levenshtein edit distance for two strings. That is
answering the question what changes does it take to go from e.g. "abcd" to "ecf"?
Since a list of characters (i.e. strings) is equal to a list of objects up to isomorphism
we can use the same algorithm as for finding the Levenshtein edit distance for strings.
The algorithm is based on computing the shortest path in a DAG. It takes both O(nm) space
and time. Further work should improve it to take O(n) space and O(nm) time (n and m being
the length of both compared lists).