src/java.base/share/classes/java/util/stream/package-info.java

@@ -413,11 +413,11 @@
  * over a mutative accumulation such as the above.  Not only is a reduction
  * "more abstract" -- it operates on the stream as a whole rather than individual
  * elements -- but a properly constructed reduce operation is inherently
  * parallelizable, so long as the function(s) used to process the elements
  * are <a href="package-summary.html#Associativity">associative</a> and
- * <a href="package-summary.html#NonInterfering">stateless</a>.
+ * <a href="package-summary.html#Statelessness">stateless</a>.
  * For example, given a stream of numbers for which we want to find the sum, we
  * can write:
  * <pre>{@code
  *    int sum = numbers.stream().reduce(0, (x,y) -> x+y);
  * }</pre>