CompSize: A Model-Based and Automated Approach to Size Estimation of Embedded Software Components

Kenneth LIND; Rogardt HELDAL

doi:10.1587/transinf.E95.D.2183

CompSize: A Model-Based and Automated Approach to Size Estimation of Embedded Software Components

Kenneth LIND, Rogardt HELDAL

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Accurate estimation of Software Code Size is important for developing cost-efficient embedded systems. The Code Size affects the amount of system resources needed, like ROM and RAM memory, and processing capacity. In our previous work, we have estimated the Code Size based on CFP (COSMIC Function Points) within 15% accuracy, with the purpose of deciding how much ROM memory to fit into products with high cost pressure. Our manual CFP measurement process would require 2.5 man years to estimate the ROM size required in a typical car. In this paper, we want to investigate how the manual effort involved in estimation of Code Size can be minimized. We define a UML Profile capturing all information needed for estimation of Code Size, and develop a tool for automated estimation of Code Size based on CFP. A case study will show how UML models save manual effort in a realistic case.

Publication: IEICE TRANSACTIONS on Information Vol.E95-D No.9 pp.2183-2192

Publication Date: 2012/09/01

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Online ISSN: 1745-1361

DOI: 10.1587/transinf.E95.D.2183

Type of Manuscript: Special Section PAPER (Special Section on Software Reliability Engineering)

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Kenneth LIND, Rogardt HELDAL, "CompSize: A Model-Based and Automated Approach to Size Estimation of Embedded Software Components" in IEICE TRANSACTIONS on Information, vol. E95-D, no. 9, pp. 2183-2192, September 2012, doi: 10.1587/transinf.E95.D.2183.
Abstract: Accurate estimation of Software Code Size is important for developing cost-efficient embedded systems. The Code Size affects the amount of system resources needed, like ROM and RAM memory, and processing capacity. In our previous work, we have estimated the Code Size based on CFP (COSMIC Function Points) within 15% accuracy, with the purpose of deciding how much ROM memory to fit into products with high cost pressure. Our manual CFP measurement process would require 2.5 man years to estimate the ROM size required in a typical car. In this paper, we want to investigate how the manual effort involved in estimation of Code Size can be minimized. We define a UML Profile capturing all information needed for estimation of Code Size, and develop a tool for automated estimation of Code Size based on CFP. A case study will show how UML models save manual effort in a realistic case.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.2183/_p

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@ARTICLE{e95-d_9_2183,
author={Kenneth LIND, Rogardt HELDAL, },
journal={IEICE TRANSACTIONS on Information},
title={CompSize: A Model-Based and Automated Approach to Size Estimation of Embedded Software Components},
year={2012},
volume={E95-D},
number={9},
pages={2183-2192},
abstract={Accurate estimation of Software Code Size is important for developing cost-efficient embedded systems. The Code Size affects the amount of system resources needed, like ROM and RAM memory, and processing capacity. In our previous work, we have estimated the Code Size based on CFP (COSMIC Function Points) within 15% accuracy, with the purpose of deciding how much ROM memory to fit into products with high cost pressure. Our manual CFP measurement process would require 2.5 man years to estimate the ROM size required in a typical car. In this paper, we want to investigate how the manual effort involved in estimation of Code Size can be minimized. We define a UML Profile capturing all information needed for estimation of Code Size, and develop a tool for automated estimation of Code Size based on CFP. A case study will show how UML models save manual effort in a realistic case.},
keywords={},
doi={10.1587/transinf.E95.D.2183},
ISSN={1745-1361},
month={September},}

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TY - JOUR
TI - CompSize: A Model-Based and Automated Approach to Size Estimation of Embedded Software Components
T2 - IEICE TRANSACTIONS on Information
SP - 2183
EP - 2192
AU - Kenneth LIND
AU - Rogardt HELDAL
PY - 2012
DO - 10.1587/transinf.E95.D.2183
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2012
AB - Accurate estimation of Software Code Size is important for developing cost-efficient embedded systems. The Code Size affects the amount of system resources needed, like ROM and RAM memory, and processing capacity. In our previous work, we have estimated the Code Size based on CFP (COSMIC Function Points) within 15% accuracy, with the purpose of deciding how much ROM memory to fit into products with high cost pressure. Our manual CFP measurement process would require 2.5 man years to estimate the ROM size required in a typical car. In this paper, we want to investigate how the manual effort involved in estimation of Code Size can be minimized. We define a UML Profile capturing all information needed for estimation of Code Size, and develop a tool for automated estimation of Code Size based on CFP. A case study will show how UML models save manual effort in a realistic case.
ER -