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CompSize: A Model-Based Automated Approach to Size Estimation of Embedded Software Components
RISE, Swedish ICT, Viktoria.
2012 (English)In: IEICE Transactions on Information Systems, Vol. e95-d, no 9Article in journal (Refereed) Published
Abstract [en]

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 RAM memory, 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, 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._x000D_

Place, publisher, year, edition, pages
2012. Vol. e95-d, no 9
Keywords [en]
UML Profile, UML components, software components, functional size measurement, code size estimation
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-32014OAI: oai:DiVA.org:ri-32014DiVA, id: diva2:1151872
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2018-01-13Bibliographically approved

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