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Robert E. Park (while at the Software Engineering Institute) and others developed a framework for defining SLOC values, to enable people to carefully explain and define the SLOC measure used in a project. For example, most software systems reuse code, and determining which (if any) reused code to include is important when reporting a measure.
B is a scaling factor and is a function of the project size. [3] Productivity is the Process Productivity, the ability of a particular software organization to produce software of a given size at a particular defect rate. Effort is the total effort applied to the project in person-years. Time is the total schedule of the project in years.
Software sizing or software size estimation is an activity in software engineering that is used to determine or estimate the size of a software application or component in order to be able to implement other software project management activities (such as estimating or tracking).
The primary measurement of software is size, specifically functional size. The generic principles of functional size are described in the ISO/IEC 14143. [1] Software size is principally measured in function points. It can also be measured in lines of code, or specifically, source lines of code (SLOC) which is functional code excluding comments.
For the Online Shopping System, the total estimated size to develop the software is 125.06 Use Case Points. Now that the size of the project is known, the total effort for the project can be estimated. For the Online Shopping System example, 28 man hours per use case point will be used. Estimated Effort = UCP x Hours/UCP
This is a method for analysis and measurement of information processing applications based on end user functional view of the system. The MK II Method (ISO/IEC 20968 Software engineering—Mk II Function Point Analysis—Counting Practices Manual [1]) is one of five currently recognized ISO standards for Functionally sizing software.
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While SLOC is an accepted way of measuring the absolute size of code from the developer's perspective, metrics such as function points capture software size functionally from the user's perspective. The function-based sizing (FBS) metric extends function points so that hidden parts of software such as complex algorithms can be sized more readily.