CompSize: A Model-Based and Automated Approach to Size Estimation of Embedded Software Components
Journal article, 2012

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.

code size

UML Profile

functional size measurement

software components

UML components

Author

Rogardt Heldal

Viktoria Swedish ICT

Rogardt Heldal

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

IEICE Transactions on Information and Systems

0916-8532 (ISSN)

Vol. E95D 9 2183-2192

Subject Categories

Computer and Information Science

DOI

10.1587/transinf.E95.D.2183

More information

Latest update

11/15/2018