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Table 2-3 Languages PC Development Environments
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Language ABAP Findings
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Factors that Influence productivity
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ABAP projects have a spike (ie, a most common value) at about 8 hours per function point; three-quarters are below 15 hours per function point The median is 10 and the mean is 12 hours per function point Most projects lie in the range from 2 to 13 hours per function point The median is 5, and the mean is 10 hours per function point In this environment, C and C++ projects appear indistinguishable in terms of PDR (though it must be noted that the sample sizes are small) PDR is notably poorer than for C or C++, in this data set The range is 2 to 49 hours per function point, with most projects falling between 6 and 26 hours per function point The mean is 17 and the median is 14 hours per function point COBOL projects on multiplatforms resemble PC and midrange COBOL projects in their spread of PDR values, which is 3 to 30 hours per function point This time, though, the values tend much more toward the higher end of the range In terms of PDR, multiplatform COBOL projects most closely resemble mainframe COBOL projects The mean is 23 and the median is 20 hours per function point Nearly all Java projects fall between 4 and 10 hours per function point The mean is 7 and the median is 6 hours per function point This is similar to Java projects on midrange and PC platforms These projects are spread from 2 to 12 hours per function point, with most at 5 hours or fewer per function point The median is 4 and the mean is 5 hours per function point The range of project delivery rates is wide, from 8 to 62 hours per function point Most are between 10 and 25 hours per function point; the median is 21 and the mean is 25 hours per function point The range of project delivery rates is wide, from 1 to 61 hours per function point Most are between 3 and 15 hours per function point; the median is 8 and the mean is 14 hours per function point
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Lotus Notes
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Table 2-4
Languages Multiplatform Development Environments
What Is the Impact of Team Size
Maximum team size is known to be one of the most important factors that affects PDR The ISBSG collects data on maximum team size In Appendix B we provide a table that can be used to adjust PDR to allow for team size Once a team size exceeds five people, productivity decreases Projects with maximum team sizes of five or more have significantly higher (worse) project delivery rates than projects with smaller teams If the team size on your project will exceed five, allow for a greater range of error in the estimate
practical Software project estimation
What Other Project Attributes Are Interesting
In addition to the two project attributes that have the most significant impact on PDR, some others are worth considering Project attributes like business area, development platform, and so on, have been analyzed to see whether they appear to be associated with variations in project delivery rate The analysis was done for each attribute separately They all indicate factors that might be relevant in understanding delivery rates You can do further analysis by using the ISBSG Estimating, Benchmarking & Research Suite to identify other factors that might be relevant to your organization and project
Does the Platform Make a Difference
To date, development platform has been the best indicator of the environment in which the project is being developed So the term more correctly refers to the whole environment/process, not specifically to the hardware platform
Note Development platform actually indicates development process
and environment We split platforms into four types: PC, midrange, mainframe, and multiplatform Mainframes have a broad range of project delivery rates PCs show a narrower range of project delivery rate values, which reflects good predictability PC-based projects also show a generally lower project delivery rate (that is, fewer hours per function point, which should reduce cost and project length) Coincidentally, midrange platforms are also midrange in their PDRs, not as good as PCs, but better and more predictable than mainframes There are two likely reasons for the major differences in productivity between PC, midrange, and mainframe development projects: The differences in the development process, such as how the software was specified, designed, tested, and documented The differences in the business environment, such as the number of business stakeholders and number of users The ISBSG performed a detailed analysis of the differences between the PC, midrange, and mainframe projects This analysis showed, as one might expect, that mainframe projects had more business units involved, and supported a larger numbers of concurrent users Such factors would result in poorer (higher) hours per function point values, because of the additional effort required to communicate with and obtain input from a larger number of people
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