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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.
Paul Cymerman. 2020. \u201cDesign Complexity for Objective Function Points\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 20 (GJCST Volume 20 Issue G3): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 133
Country: United States
Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary
Authors: Paul Cymerman, Joe Van Dyke, Ian Brown (PhD/Dr. count: 0)
View Count (all-time): 241
Total Views (Real + Logic): 4419
Total Downloads (simulated): 1169
Publish Date: 2020 04, Mon
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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.
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