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XLT (Xceptance LoadTest) is an extensive load and performance test tool developed and maintained by Xceptance.

There is a newer version: 8.4.1

/*
 * Copyright (c) 2005-2023 Xceptance Software Technologies GmbH
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package com.xceptance.xlt.report.util;

/**
 * Computes summary statistics for a stream of data values added using the {@link #addValue(int)} method. The data
 * values are not stored in memory, so this class can be used to compute statistics for very large data streams. This
 * class is similar to {@link org.apache.commons.IntSummaryStatistics.stat.descriptive.SummaryStatistics}, but optimized for
 * int values (about 10 times faster).
 * 
 * Note: This class is not thread-safe.
 */

public class IntSummaryStatistics
{
    /**
     * The number of values added.
     */
    private long count;

    /**
     * The maximum value.
     */
    private int maximum = Integer.MIN_VALUE;

    /**
     * The minimum value.
     */
    private int minimum = Integer.MAX_VALUE;

    /**
     * The sum of all values.
     */
    private double sum;

    /**
     * The sum of the square of all values.
     */
    private double sumOfSquares;

    /**
     * Adds a value.
     * 
     * @param value
     *            the value to add
     */
    public void addValue(final int value)
    {
        // use intrinics with the pow lib call
        sumOfSquares += Math.pow(value, 2);
        sum += value;

        maximum = Math.max(maximum, value);
        minimum = Math.min(minimum, value);

        count++;
    }

    /**
     * Returns the number of values added.
     * 
     * @return the number of values
     */
    public long getCount()
    {
        return count;
    }

    /**
     * Returns the maximum of the values added.
     * 
     * @return the maximum
     */
    public int getMaximum()
    {
        return count == 0 ? 0 : maximum;
    }

    /**
     * Returns the mean of the values added.
     * 
     * @return the mean
     */
    public double getMean()
    {
        return sum / count;
    }

    /**
     * Returns the minimum of the values added.
     * 
     * @return the minimum
     */
    public int getMinimum()
    {
        return count == 0 ? 0 : minimum;
    }

    /**
     * Returns the standard deviation of the values added.
     * 
     * @return the standard deviation
     */
    public double getStandardDeviation()
    {
        final double mean = getMean();

        return Math.sqrt(sumOfSquares / count - mean * mean);
    }

    /**
     * Returns the sum of all values added.
     * 
     * @return the sum
     */
    public double getSum()
    {
        return sum;
    }
}