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Knowing the functional size of the software to be developed is essential for macro estimation 18 provides an introduction to functional sizing
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Functional size represents the size of the functional requirements Functional size is an important input in software estimation, but it is only one of a number of required variables For a new development project, functional size is the size of all of the delivered or installed functionality (analogous to a building s floor plan) For an enhancement project, functional size is the total size of all functional requirements that are new, renovated (changed), or removed (deleted) from the software Nonfunctional requirements fall outside functional size The value adjustment factor (VAF) which is an optional step in the IFPUG (International Function Point Users Group) function point method is intended to address a portion of nonfunctional requirements3 According to industry experts including Barry Boehm (COCOMO II), Watts Humphrey (Software Engineering Institute), and Bill Perry (Quality Assurance Institute), the impact of nonfunctional requirements can double the effort required to develop software depending on the exact constraints involved
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Note Functional size measurement pertains only to the size of the software s
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There are two major software estimation approaches: macro (for example, top-down; parametric) and micro (for example, bottom-up; task based), although some estimation approaches combine typical aspects of both macro and micro techniques Within each approach are several estimating techniques, as shown in Table 1-1 Note that the estimating techniques listed in Table 1-1 are the techniques presented in this book, not a definitive or exhaustive list of estimating techniques Any of the techniques could be used at any point in the life cycle However, the more accurate our estimate of the project s size, the more precise our effort and duration estimates can be The relative precision of our resultant estimates will match the precision of our inputs Table 1-2 outlines some of the strengths and weaknesses of each estimation technique Note that all the macro techniques have problems with small projects as a result of the greater variation in the ratios of size to effort and duration typically seen in smaller projects
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Note that the VAF may be phased out in the future and replaced by an alternative option
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Approach MacroEstimation Estimation Technique Equation Use In this method, the size of the project is applied to an appropriate equation that has been derived from project data The result is a useful indicative, or ballpark estimate of effort and duration Includes Program Evaluation and Review Technique (PERT) equations Comparison Essentially, this involves finding a group of completed projects with project attributes similar to those of the proposed project, and using the data from those projects to provide a guide for the estimate of the effort and duration for your new project Analogy This method is based on being able to find a completed project that is a very good match to your proposed project based on its major attributes The project delivery rate and speed of delivery from the analog are then used to guide the estimate of the effort and duration for your new project MicroEstimation Work Breakdown In this method, the effort and duration associated with each component or activity of the software project is separately estimated and the results aggregated to produce an estimate of the whole job This is a bottom-up technique
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When Applicable Useful when little information is known or when requirements are incomplete High-level estimate
Useful when enough project attributes and a range for the functional size are known This allows the estimator to adequately gauge that the comparison projects are similar Useful when even more information is known about the project being estimated Best accomplished after requirements are complete
Useful when the project scope is well defined and an accurate work breakdown structure can be defined Typically, experienced project team members estimate their project tasks based on historical completed similar tasks, and the overall estimate is the aggregated sum of all work breakdown structure task estimates
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