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Refer to Appendix A
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practical Software project estimation
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Effort shown in the data is the total effort for the project What is counted within that total varies, because different projects record effort at different levels of detail (see the Resource Level and Recording Method fields) A resource level of 1 means that only the effort of the development team is recorded; 2 means that support team effort is also recorded; 3 adds computer operations; and 4 adds effort expended by the end user or client You can do two things to make sure you compare effort appropriately: It is best to select only those projects that record the same effort detail as you do You don t have to ignore every other project you can use rules of thumb to translate approximately between different levels of effort Previous analysis of projects in the ISBSG Repository shows that level 2 effort is about 10 12 percent more than level 1, level 3 adds about another 1 or 2 percent, and level 4 is about 20 25 percent more than level 1
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Note If you use approximations like this, you add uncertainty to your
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data and add risk to any conclusions that you draw Functional Size Measurement Methods (FSMM) It will be optimal for size comparisons if all the selected projects have been measured using the same (or compatible) FSMM and version If you mix methods, you need to know their characteristics For example, you shouldn t mix projects sized using pre-IFPUG 4 with those sized using IFPUG 4x4 (the sizing changed with that release) New development projects sized using the NESMA standard can be included with IFPUG 4x projects Use the Count Approach field in the data (and perhaps also the FP Standards and Reference Table Approach fields), to select projects that use the same sizing method that you use Other Criteria Other criteria that may be important are organization type, business area type, application type, user base, and development techniques You will want to select projects that are similar to yours in important project attributes
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IFPUG 4x refers to the IFPUG 4 series of releases (4, 41, 42, and so on)
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Using project history Databases
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The ISBSG suggests that the most important criteria for selecting projects are as follows: Size (if yours is a really large project, there is not much value to you in studying small ones, and vice versa) Development type (new development, enhancement, or redevelopment) Primary programming language or language type (for example, 3GL, 4GL) Development platform (mainframe, midrange, or PC) Bear in mind that as you add more selection criteria, the number of projects selected inevitably gets smaller You can end up with small groups of projects, or perhaps even no projects that satisfy all criteria How important the group size is will depend on what you want to do with the data In summary it is important that any data subset that you use has integrity The key points are to choose only appropriately rated data, to ensure that measurements are defined the same way (that is, FSM releases are compatible and effort measures are consistent), and that the measurements apply to the same thing (that is, effort normalization and effort levels)
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Presentation of Statistics
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Appendix B provides an explanation of the ISBSG s presentation of statistics and a brief guide to using the statistics and the various tables provided in the appendixes
Using Several Estimation Approaches
Means, medians, and regression lines should be used with caution, especially where sample sizes are small, and variances or standard deviations are high You should not rely on a single estimation method, especially since the macro-estimation methods described in this book are based on broad averages We suggest that you derive your estimates from a relevant subset of the projects in the ISBSG data set, and that you use your traditional estimating methods as a reasonableness check
Summary
The ISBSG project history data is a very valuable resource for estimation, but it must be used carefully and with an understanding of what it does and does not represent
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