asp.net barcode reader free B-45: Effect of Maximum Team Size and Project Size in Software

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Table B-45: Effect of Maximum Team Size and Project Size
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Team Size 1 to 4 1 to 4 1 to 4 1 to 4 1 to 4 1 to 4 5 to 8 5 to 8 5 to 8 5 to 8 5 to 8 5 to 8 9 or more 9 or more 9 or more 9 or more 9 or more 9 or more Project Size (UFP) 3 to 200 201 to 400 401 to 600 601 to 800 801 to 1,000 More than 1,000 3 to 200 201 to 400 401 to 600 601 to 800 801 to 1,000 More than 1,000 3 to 200 201 to 400 401 to 600 601 to 800 801 to 1,000 More than 1,000 N 99 25 5 2 91 53 16 14 3 4 44 67 23 22 9 31 50 169 175 200 140 179 10 98 129 132 144 20 29 86 64 61 79 110 19 05 05 36 48 222 144 58 07 32 09 444 273 200 52 16 597 369 2240 177 98 136 155 53 05 21 39 49 173 135 116 84 64 65 170 148 159 156 107 120 129 122 47 83 121 106 02 54 63 81 52 02 36 59 193 63 07 43 595 545 08 33 21 22 73 85 128 116 53 35 Min 196 198 188 P10 141 142 P25 111 117 103 Median 67 51 91
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P75 P90 Max Mean Std Dev
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122 78 56
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Appendix B:
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project delivery Rates by Category
The variation increases as team size and project size increase For example, for 80 percent of the projects with a functional size up to 200 UFP and a team size of 1 to 4, the residual PDR ranges from 141 to +76 hours per UFP (these are the P10 and P90 values) This is a spread of 217 hours per UFP For teams of 5 to 8 the corresponding spread is 300 hours per UFP, and for teams of 9 or more the spread increases to 454 hours per UFP Similar trends can be seen for other variations in team size and project size The low end (the minimum and P10 values) changes less than the high end (P75 and P90) as team size increases, and the high end gets progressively worse as team size increases Broadly, as team size increases PDR deteriorates As functional size increases PDR tends to improve As both increase, individually and together, PDR becomes more variable
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Appendix
estimation equations
n this appendix we provide equations that you can use to obtain indicative or ballpark estimates for: Project Delivery Rates function point Duration Productivity expressed as hours per
Effort Person hours for the development team only Elapsed months Speed of Delivery Function points delivered per elapsed month for the project as a whole Speed of Delivery per Person Function points delivered per elapsed month per development team member
What Are These Estimates Based On
Studies of the projects in the ISBSG Repository have shown that Size and Maximum Team Size are the most important drivers of effort and duration Size is the most important For this reason, two groups of equations are provided with the following independent variables: Equations that utilize Size (in function points) and Maximum Team Size Equations that utilize Size only Within these two groups, equations are provided by: Platform (mainframe, midrange, PC, and multiplatform) Language type (3GL, 4GL) Development type (enhancement, new development) Combinations of platforms, language types, and development types
practical Software project estimation
These are the main project characteristics that you are likely to know at the beginning of a project that are also most useful for ballpark estimates
Which Equation(s) Should You Use
You should choose the equation(s) that best suit your needs: If your specific combination of platform, language type, and development type is present in the tables at the end of this appendix, use the equation provided for that combination You can be assured that the equation, and all its components, play a useful role for estimation (but pay attention to N, R2adj, and Median MRE explained shortly to understand how useful the equation is) If your exact combination of platform, language type, and development type is not given in the tables at the end of this appendix, you will have to step back to a more general equation that matches some of your platform/language type/development type, but not all of them A particular combination might be missing because the ISBSG does not have enough projects for a particular combination of platform, language type, and development type to derive a legitimate estimation equation Another possibility is that sometimes the analysis shows that a particular equation has no better than random chance in generating an estimate, or that one or more of the independent variables make no significant contribution to the estimate, or the equation has very little explanatory value In such cases the equation is simply not presented in the table, since it has no value for you Treat re-development as new development projects Treat Application generator as 4GL projects
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