Design Complexity for Objective Function Points

Paul Cymerman, J. V. Dyke, Ian Brown
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Abstract

This paper investigates correlating the basic elements of Unified Modeling Language and Cyclomatic Complexity with Function Point Analysis (FPA) principles to develop an automated software functional sizing tool. This concept has been difficult to achieve due to the logical nature of the FPA sizing methodology versus the physical nature of source lines of code (SLOC). In this approach, we examine software complexity from design and maintainability perspectives in order to understand relationships in physical code. Our hypothesis is that this method will “simulate” FPA principles and produce an objective sizing method. This would provide the foundation for an automated tool that scans physical software code to derive “Objective Function Points”(OFPs) functional size measure.
目标功能点的设计复杂性
本文研究了将统一建模语言和圈复杂度的基本要素与功能点分析(FPA)原理相结合,开发一个自动化的软件功能分级工具。由于FPA分级方法的逻辑性质与源代码行(SLOC)的物理性质不同,这个概念很难实现。在这种方法中,我们从设计和可维护性的角度来检查软件的复杂性,以便理解物理代码中的关系。我们的假设是,这种方法将“模拟”FPA原理,并产生一种客观的分级方法。这将为扫描物理软件代码以派生“目标功能点”(ofp)功能大小度量的自动化工具提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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