public static class Program
public static void Main()
Console.WriteLine("Williams <=> Williamson: " + CalculateSimilarity("Williams","Williamson"));
Console.WriteLine("Williams <=> McWilliamson: " + CalculateSimilarity("Williams","McWilliamson"));
Console.WriteLine("Williams <=> McWilliams: " + CalculateSimilarity("Williams","McWilliams"));
Console.WriteLine("Leary <=> O'Leary: " + CalculateSimilarity("Leary","O'Leary"));
Console.WriteLine("Donalds <=> Donaldson: " + CalculateSimilarity("Donalds","Donaldson"));
Console.WriteLine("Donalds <=> MacDonalds: " + CalculateSimilarity("Donalds","MacDonalds"));
Console.WriteLine("Williams <=> McDonalds: " + CalculateSimilarity("Williams","McDonalds"));
Console.WriteLine("Donalds <=> O'Donnell: " + CalculateSimilarity("Donalds","O'Donnell"));
Console.WriteLine("Smith <=> Smythe " + CalculateSimilarity("Smith","Smythe"));
Console.WriteLine("Smith <=> Smithy " + CalculateSimilarity("Smith","Smithy"));
public static double CalculateSimilarity(this string source, string target)
if ((source == null) || (target == null)) return 0.0;
if ((source.Length == 0) || (target.Length == 0)) return 0.0;
if (source == target) return 1.0;
int stepsToSame = ComputeLevenshteinDistance(source, target);
return (1.0 - ((double)stepsToSame / (double)Math.Max(source.Length, target.Length)));
static int ComputeLevenshteinDistance(string source, string target)
if ((source == null) || (target == null)) return 0;
if ((source.Length == 0) || (target.Length == 0)) return 0;
if (source == target) return source.Length;
int sourceWordCount = source.Length;
int targetWordCount = target.Length;
if (sourceWordCount == 0)
if (targetWordCount == 0)
int[,] distance = new int[sourceWordCount + 1, targetWordCount + 1];
for (int i = 0; i <= sourceWordCount; distance[i, 0] = i++) ;
for (int j = 0; j <= targetWordCount; distance[0, j] = j++) ;
for (int i = 1; i <= sourceWordCount; i++)
for (int j = 1; j <= targetWordCount; j++)
int cost = (target[j - 1] == source[i - 1]) ? 0 : 1;
distance[i, j] = Math.Min(Math.Min(distance[i - 1, j] + 1, distance[i, j - 1] + 1), distance[i - 1, j - 1] + cost);
return distance[sourceWordCount, targetWordCount];