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Project Delivery Rate by Maximum Team Size
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Table B-40: Project Delivery Rate by Maximum Team Size All Platforms
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N 1 to 4 5 to 8 9 or more 157 212 215 Min 10 06 06 P10 29 34 42 P25 49 59 88 Median 74 103 165 P75 124 169 269 P90 211 280 400 Max 771 765 787 Mean 110 138 200 Std Dev 113 124 152
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Table B-41: Project Delivery Rate by Maximum Team Size Mainframe Platforms
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N 1 to 4 5 to 8 9 or more 41 43 45 Min 38 06 06 P10 53 40 21 P25 80 82 75 Median 138 136 184 P75 210 233 272 P90 420 478 353 Max 771 752 682 Mean 192 194 201 Std Dev 169 175 161
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project delivery Rates by Category
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Table B-42: Project Delivery Rate by Maximum Team Size Midrange Platforms
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N 1 to 4 5 to 8 9 or more 6 25 30 Min 20 30 68 P10 51 78 P25 58 90 116 Median 60 116 170 P75 74 168 264 P90 311 305 Max 124 453 702 Mean 67 153 206 Std Dev 34 106 136
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Table B-43: Project Delivery Rate by Maximum Team Size PC Platforms
N 1 to 4 5 to 8 9 or more 19 35 29 Min 10 10 12 P10 28 18 42 P25 40 35 75 Median 64 84 98 P75 112 111 176 P90 179 168 329 Max 423 392 498 Mean 97 93 150 Std Dev 97 87 131
Table B-44: Project Delivery Rate by Maximum Team Size Multiplatforms
N 1 to 4 5 to 8 9 or more 18 50 57 Min 39 19 11 P10 51 46 43 P25 56 73 101 Median 75 88 166 P75 108 140 252 P90 183 219 381 Max 229 412 618 Mean 94 114 201 Std Dev 56 73 136
Appendix B:
project delivery Rates by Category
The Impact of Maximum Team Size and Project Size on Project Delivery Rate
The preceding tables analyze each factor individually, without taking into account any interactions between them Now we look at the effect of different factors, after allowing for the effect of other factors that have an important effect on PDR Platform and language are important factors for characterizing the environment in which a project is developed, and the primary language used to develop the project PDR values for different combinations of platform and language are presented in Tables B-16 20 Team size and project size are also known to be important factors that affect PDR (in fact, analysis of ISBSG data shows that these are the two most important factors) Table B-45 summarizes the residual project delivery rates for different combinations of maximum team size and project size, after the effect of language and platform has been taken into account (This table is based on analysis of 508 of the 1,681 projects analyzed in this appendix, for which language, platform, project size, and maximum team size are all known) The data analyzed here suggests that PDR gets worse as team sizes increase, but that PDR improves as functional size increases While these factors are clearly not independent (larger projects tend to have larger teams), you can study Table B-45 to gain an understanding of each factor separately as well as together You can see that small teams do not develop large projects, as expected (Table B-45 does not present statistics for samples of fewer than five projects, because the sample is simply too small) We can use Table B-45 to identify the average effect of maximum team size and project size We do this by looking at the averages: both median and mean are worth considering For example, if we consider medians, Table B-45 shows that projects with a functional size of up to 200 UFP and a maximum team size of 1 to 4 have an average project delivery rate that is 67 hours per UFP lower than the overall average, once language and platform have been taken into account If we consider means, the difference is 41 hours per FP, instead of 63 hours per UFP In other words, suppose you start with an estimate of project delivery rate for a given project, based on its platform and language (see Tables B-16 20) If its size is up to 200 UFP and you expect to use a development team of 1 to 4 people, you could lower your estimated project delivery rate value by 4 to 6 hours per UFP For a similar functional size but with a team size of 9 or more, you could raise your estimated PDR value by 11 to 15 hours per UFP Other combinations of functional size and team size have different effects, as shown in Table B-45
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