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Project completion date is 1999 or later (Normalized effort for development team / reported effort for development team) < 125
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This section briefly describes the tables in this appendix Throughout the appendix, each table indicates the number of projects represented (N) This number is important, because care must be taken not to draw unwarranted conclusions from small samples of projects In the tables that follow, no group of projects is tabulated in its own right unless N is at least 10 (that is, at least 10 projects are represented in every group) The total number of projects in each table varies This is because the values of a number of variables are not known for projects submitted to the repository (that is, submitters do not provide data for every field) Small inconsistencies between numbers of projects tabulated are due to missing values of variables selected for tabulation; for example, in some cases in the repository the Development Platform is given as Unknown
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Note When you are using the tables, always check the number of projects
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represented Don t jump to conclusions based on a small number of projects
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In this appendix, tables are frequently used to summarize some key statistics about the data for the topic being analyzed The following header is common to all of the tables presented:
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N Min P10 P25 Median P75 P90 Max Mean Std Dev
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N is the number of projects or data instances in the sample Min is the minimum value found in the sample P10 is the 10th percentile and is that value which is greater than the values of 10 percent of the members of the sample P25 (often also written as Q1) is the 25th percentile or first quartile It is that value which is greater than the values of 25 percent of the members of the sample or subsample
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Appendix B:
project delivery Rates by Category
Median (sometimes written as P50) is the middle value; half the values in the data sample or subsample are below this value, while the other half are above it P75 (often also written as Q3) is the 75th percentile or third quartile It is that value which is greater than the values of 75 percent of the members of the sample or subsample P90 is the 90th percentile and is that value which is greater than the values of 90 percent of the members of the sample or subsample Max is the maximum value found in the sample Mean is the arithmetic mean or average Std Dev is the standard deviation
Use of the Statistics
In most cases we have focused upon the median rather than the mean However, the mean is always noted in addition to the median The median is the more useful measure when the data contains outliers or when it is strongly skewed
Note Mean is the average of all the values The median is middle value
of all the values Using the mean or average can be misleading when the data is skewed One huge number can distort the mean, so that it is no longer a fair representation of average This is common in software engineering data sets, so the median is usually preferred Standard deviation is a measure of how wide the spread of values is A small standard deviation means that most numbers fall into a narrow band around the average, and a large standard deviation means there is a wide range of values A small standard deviation is better for estimation than a large one
Project Delivery Rates
Project delivery rates in the following tables are expressed in terms of hours per function point
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Table B-1: Project Delivery Rate by Industry Sector
N Banking Communication Construction Electronics & Computers Financial Government Insurance Manufacturing Medical and Health Care Professional Services Service Industry Wholesale & Retail 80 426 12 18 94 153 164 101 10 30 86 55 Min 07 08 28 11 10 12 14 06 15 11 07 24 P10 30 36 31 25 30 49 51 16 25 39 22 61 P25 40 65 35 35 51 77 83 26 29 50 49 126 Median 79 115 43 51 94 117 163 54 41 93 84 223 P75 221 194 63 162 142 198 281 130 78 115 143 293 P90 312 300 87 261 228 362 434 292 93 197 232 540 Max 551 787 91 593 752 618 742 525 137 366 423 606 Mean 134 149 50 119 119 163 206 104 55 104 107 244 Std Dev 121 117 22 150 111 130 157 120 38 76 84 165
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