--- /dev/null	2013-12-01 22:20:06.490779671 -0800
+++ new/test/java/util/stream/TestDoubleSumAverage.java	2013-12-01 23:24:29.000000000 -0800
@@ -0,0 +1,108 @@
+/*
+ * Copyright (c) 2013, Oracle and/or its affiliates. All rights reserved.
+ * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
+ *
+ * This code is free software; you can redistribute it and/or modify it
+ * under the terms of the GNU General Public License version 2 only, as
+ * published by the Free Software Foundation.
+ *
+ * This code is distributed in the hope that it will be useful, but WITHOUT
+ * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+ * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+ * version 2 for more details (a copy is included in the LICENSE file that
+ * accompanied this code).
+ *
+ * You should have received a copy of the GNU General Public License version
+ * 2 along with this work; if not, write to the Free Software Foundation,
+ * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
+ *
+ * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
+ * or visit www.oracle.com if you need additional information or have any
+ * questions.
+ */
+
+import java.util.*;
+import java.util.function.*;
+import java.util.stream.*;
+
+/*
+ * @test
+ * @bug 8006572
+ * @summary Test for use of non-naive summation in stream-related sum and average operations.
+ */
+public class TestDoubleSumAverage {
+    public static void main(String... args) {
+        int failures = 0;
+
+        failures += testForCompenstation();
+        failures += testZeroAverageOfNonEmptyStream();
+        
+        if (failures > 0) {
+            throw new RuntimeException("Found " + failures + " numerical failure(s).");
+        }
+    }
+
+    /**
+     * Compute the sum and average of a sequence of double values in
+     * various ways and report an error if naive summation is used.
+     */
+    private static int testForCompenstation() {
+        int failures = 0;
+
+        /*
+         * The exact sum of the test stream is 1 + 1e6*ulp(1.0) but a
+         * naive summation algorithm will return 1.0 since (1.0 +
+         * ulp(1.0)/2) will round to 1.0 again.
+         */
+        double base = 1.0;
+        double increment = Math.ulp(base)/2.0;
+        int count = 1_000_001;
+
+        double expectedSum = base + (increment * (count - 1));
+        double expectedAvg = expectedSum / count;
+
+        // Factory for double a stream of [base, increment, ..., increment] limited to a size of count
+        Supplier<DoubleStream> ds = () -> DoubleStream.iterate(base, e -> increment).limit(count);
+
+        DoubleSummaryStatistics stats = ds.get().collect(DoubleSummaryStatistics::new,
+                                                         DoubleSummaryStatistics::accept,
+                                                         DoubleSummaryStatistics::combine);
+
+        failures += compareUlpDifference(expectedSum, stats.getSum(), 3);
+        failures += compareUlpDifference(expectedAvg, stats.getAverage(), 3);
+
+        failures += compareUlpDifference(expectedSum,
+                                         ds.get().sum(), 3);
+        failures += compareUlpDifference(expectedAvg,
+                                         ds.get().average().getAsDouble(), 3);
+
+        failures += compareUlpDifference(expectedSum,
+                                         ds.get().boxed().collect(Collectors.summingDouble(d -> d)), 3);
+        failures += compareUlpDifference(expectedAvg,
+                                         ds.get().boxed().collect(Collectors.averagingDouble(d -> d)),3);
+        return failures;
+    }
+
+    /**
+     * Test to verify that a non-empty stream with a zero average is non-empty.
+     */
+    private static int testZeroAverageOfNonEmptyStream() {
+        Supplier<DoubleStream> ds = () -> DoubleStream.iterate(0.0, e -> 0.0).limit(10);
+
+        return  compareUlpDifference(0.0, ds.get().average().getAsDouble(), 0);
+    }
+
+    /**
+     * Compute the ulp difference of two double values and compare against an error threshold.
+     */
+    private static int compareUlpDifference(double expected, double computed, double threshold) {
+        double ulpDifference = Math.abs(expected - computed) / Math.ulp(expected);
+
+        if (ulpDifference > threshold) {
+            System.err.printf("Numerical summation error too large, %g ulps rather than %g.%n",
+                              ulpDifference, threshold);
+            return 1;
+        } else
+            return 0;
+    }
+}