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influences how precise your FP measurement is and the actual steps necessary to obtain that measurement You select the PDR from the table(s) you create by following the preceding steps Working through an example development team, we can construct appropriate estimating framework tables Our example development team develops small-scale applications using Microsoft Visual Basic (NET) technology It links some of these applications to database and mail servers running on the Windows Server platform It also develops applications using Java and JavaScript tools to run across the Internet in HTML browsers using a multitier architecture of Windows Server computers
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Step 1 Identify the Development Platforms
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The ISBSG divides its project delivery rate (PDR) data into four platforms: mainframe, midrange, PC, and multiplatform ISBSG analysis of its project data shows development language as one of the three factors that make the most impact on project delivery rate (The other two factors are team size and, once you allow for team size impact, project size) Identifying the operating system platform for which your team is developing software helps improve the precision of the estimating framework Consequently, before you extract PDR values for the development languages that your team uses, you need to identify the development platforms for the software For our example team a complete estimation framework will examine two PDR tables in Appendix B, Table B-20 for multiplatform development projects using Java and NET tools, and Table B-19 for PC development projects using Microsoft Visual Basic
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Step 2 Extract PDR Distributions Based on Development Languages
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Locate Tables B-17, B-18, B-19, and B-20 in Appendix B that present Project Delivery Rate by Language for the development platforms that your group uses, and extract the PDR distributions for the programming languages that your group is likely to use on future projects For our example team, developing PC-based systems using Visual Basic, we extract the highlighted PDR distribution This gives one row in the team s PDR table shown in Table 16-1 If your team s specific programming languages do not appear, then use the 3rd generation language and 4th generation language PDR distributions in Tables B-12, B-13, B-14, and B-15 Alternatively, use the values for those languages that are similar to the ones that your team uses For example, Borland Delphi is a similar development tool to Microsoft Visual Basic, so its PDR distribution is likely to be similar to that shown for Visual Basic
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practical Software project estimation
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N 11 15 18 26 16 48 59 Min 22 40 28 19 12 10 10 P10 26 86 42 30 23 19 22 P25 27 93 52 57 37 32 36 Median 59 114 104 77 90 72 73 P75 78 185 197 109 135 95 146 P90 95 278 240 190 198 138 256 Max 143 601 351 253 338 244 498 Mean 60 165 127 93 106 74 112 Std Dev 38 139 94 61 88 50 115
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Table 16-1
Project Delivery Rates by Language PC Platforms
Step 3 Adjust the Extracted PDR Distributions According to Team Size
The total team size has the most significant impact on the productivity of a development project The detrimental impact of larger teams on productivity is so significant that it is the main reason why projects delivering several thousand FPs have such poor productivity compared with smaller scope projects Team-size impact overrides any productivity benefits from a specific development language Consequently, any estimating framework must take into account the maximum team size the development team needs to deliver the project Use the appropriate median values from Table B-45, Effect of Maximum Team Size and Project Size, to refine the PDRs extracted from the tables showing PDR by language This has to be done with some judgment when considering highly productive development languages such as Microsoft ASP or Visual Basic (NET) Note too that you need to consider the maximum team size, which may include several technical specialists or QA people who have only a part-time role on the project A lot of development teams bring in several people for small roles on a project without considering whether their impact on overall productivity may negate any quality benefit In addition, you need to consider the typical size of the projects developed by your team Smaller projects tend to have lower productivity If your team develops projects of significantly different sizes, then you may need to add this as another factor to be taken into consideration However, it is probably more effective to combine the project size and team size factors together, as most development teams link the two when planning projects Our example team does a lot of projects around 400 FPs with small teams plus the occasional project of greater than 1,000 FPs They never use a team of more than eight people The data in Table B-45 states that using a team size of one to four has a median impact of reducing the development language s PDR by 51 In other words, the one- to four-person team will expend 51
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