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On the Relationship between Functional Size and Software Code Size

Lind, Kenneth, 1966 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Heldal, Rogardt, 1964 (author)
Chalmers tekniska högskola,Chalmers University of Technology
 (creator_code:org_t)
ISBN 9781605589763
2010-05-04
2010
English.
In: International Workshop on Emerging Trends in Software Metrics (WETSoM 2010), May 4, 2010, Cape Town, South Africa.. - New York, NY, USA : ACM. - 0270-5257. - 9781605589763 ; , s. 47-52
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • SLOC (Source Lines-Of-Code) has been used extensively as a Code Size Measure, and as input to parametric software cost and effort estimation tools. SLOC is obtained by measuring FP (Function Points) on the requirements and multiplying by the SLOC/FP ratio from similar projects. This is done even though several studies show large variations in this ratio, due to weak correlation between FP and SLOC. However, in our previous experiments we have obtained strong correlation between CFP (COSMIC Function Points) and Bytes compiled code as Code Size Measure. The experiments were conducted in the automotive industry using software components developed by GM (General Motors). In this paper we explain the reasons behind the strong correlation. The main reasons are that we apply the COSMIC method on software components of similar type, with a 1-to-1 mapping to COSMIC. A strong correlation between the Functional Size Measure and the Code Size Measure is required to obtain accurate Code Size estimation results. To estimate the Code Size before the software is available, is important both for Cost/Effort estimation and design of electronic hardware.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Keyword

Software Code Size
UML components
COSMIC Function Points
system architecture.
Bytes
Source Lines-Of-Code
Functional Size Measurement

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