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As for Level 4, except complexity is individually assessed, and weightings are assigned to each BFC (for example, for IFPUG FSM, DETs and FTRs are identified using the IFPUG complexity matrices where possible) Explanatory notes are attached to BFCs where necessary
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As for Level 3, except all relationships between BFCs are formally documented (that is, relationships between processes and the data they access are individually identified and documented This is often referred to as linking processes and data) Exact numbers of subcomponents of BFCs are identified; for example, in IFPUG FSM, that is the number of DETs and FTRs; for COSMIC FSM, that is the uniquely named subprocesses identified
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As for Level 2, but more comprehensive supporting documentation for the sizing For example: Cross-referencing between physical and logical artifacts of the software For example, between physical files and logical data groups and between specified use cases and logical processes Keywords (also referred to as labels or attributes) are attached to relevant BFCs (for selective reporting)
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Note Choose the level of sizing based on the documentation and time
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available plus the use of the resultant size Table 4-1 lists the basic attributes of each of the sizing levels to help you choose the one most suited to your need If the size has been measured using Level 5 or 4 guidelines, then to have more confidence in the number, the size measurement should be revisited and performed more accurately as more information becomes available If the size has been approximated using Level 6 methods, then it is recommended that this size be recalculated during the development as more information is collected for the project6 Ideally, once the project is approved, a more detailed measurement should be
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Refer to Figures 1-2 and 1-3
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4:
Level 1
Size Measure Very detailed Easily auditable Accurate Very well documented Easily maintained Very detailed Easily auditable Accurate Very well documented Easily maintained Detailed Auditable Accurate Well documented Very maintainable
Best Suited For Benchmarking projects Detailed estimates Project tracking Detailed baseline model Metrics reporting for strategic level Benchmarking projects Detailed estimates Project tracking Detailed baseline model Benchmarking projects Detailed estimates Baseline application measurement for portfolio sizing Detailed baseline model
Issues Very time intensive Requires very skilled counters Expensive for large systems Time intensive Expensive for large systems
Prerequisites High-quality documentation Data model Full access to system experts Good/high quality documentation Data model Full access to system experts Good quality documentation Data model (if available) Access to system experts
Sizing Software and Size-approximation accuracy
Time intensive Reasonably costeffective for large systems
Table 4-1
Basic Attributes of Sizing Levels (continued)
Level 4
Size Measure Less detailed Auditable Reasonably accurate Documented Maintainable Low detail Less accurate Documented (issues and assumptions) Skeleton (base for more refined measurement) Very little detail size results only Accuracy historically has been demonstrated to be within +/ 20% Not documented Not maintainable
Basic Attributes of Sizing Levels
Best Suited For Portfolio baseline assessment Benchmarking development or support ratios Quality metrics High-level estimates Baseline model Portfolio baseline assessment Benchmarking support ratios Baseline model
Issues Efficient Cost-effective for large systems
Prerequisites
practical Software project estimation
Average quality documentation Data model (if possible) Access to system experts Summarized system documentation Access to system experts (for the duration of measurement) Accurate completion of a questionnaire Access to system experts (short interview)
Very efficient Cost-effective for large systems with little enhancement
Portfolio baseline assessment Software asset valuation Project scoping Estimating count durations Benchmarking support ratios
Very efficient Very cost-effective for large systems with very little enhancement
Table 4-1
4:
Sizing Software and Size-approximation accuracy
performed and the size updated as functionality changes, particularly if the size values are used to: Adjust the effort, cost, and time estimates Control the scope creep and record change requests
Note As the project progresses, the size estimate should be validated and
refined (eventually moving from low-accuracy to high-accuracy techniques)
It is recommended that every size approximation should be expressed as three values: minimum, most likely, and maximum estimated size, where the most likely is not necessarily the average between the extreme values Alternatively, the size approximation should express a confidence interval, or accuracy percentage, to help understand how close the estimate is likely to be to the actual size of the software being analyzed It is up to the person using the result to decide whether to use each value, or to use only one of the values in the approximation interval, as a basis for further estimations of effort, cost, or duration
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