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Comp size: A model-based and automated approach to size estimation of embedded software components
2012 (English)In: IEICE transactions on information and systems, ISSN 0916-8532, E-ISSN 1745-1361, Vol. E95-D, no 9, p. 2183-2192Article 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 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.

Place, publisher, year, edition, pages
2012. Vol. E95-D, no 9, p. 2183-2192
Keywords [en]
Code size estimation, Functional size measurement, Software components, UML components, UML profile, Codes (symbols), Cosmology, Embedded systems, Random access storage, Software reliability, Unified Modeling Language, Code size estimations, Functional Size Measurements, Software component, Uml profiles, Cost estimating
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-32641DOI: 10.1587/transinf.E95.D.2183Scopus ID: 2-s2.0-84865726282OAI: oai:DiVA.org:ri-32641DiVA, id: diva2:1158832
Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2018-01-13Bibliographically approved

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