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

  • Conference paper
Model Driven Engineering Languages and Systems (MODELS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6981))

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.

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Author information

Authors and Affiliations

  1. Saab Automobile AB, Electrical Systems Engineering, A1-5 TLEF, SE-461 80, Trollhättan, Sweden

    Kenneth Lind

  2. Computer Science and Engineering, Chalmers University of Technology, SE-412 96, Göteborg, Sweden

    Rogardt Heldal

Authors
  1. Kenneth Lind
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  2. Rogardt Heldal
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Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, InfoLab21, South Drive, LA1 4WA, Lancaster, UK

    Jon Whittle

  2. School of Engineering and Information Sciences, Middlesex University, The Burroughs, Hendon, NW4 4BT, London, UK

    Tony Clark

  3. School of Engineering and Computer Science, Victoria University, P.O. Box 600, 6140, Wellington, New Zealand

    Thomas Kühne

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Lind, K., Heldal, R. (2011). A Model-Based and Automated Approach to Size Estimation of Embedded Software Components. In: Whittle, J., Clark, T., Kühne, T. (eds) Model Driven Engineering Languages and Systems. MODELS 2011. Lecture Notes in Computer Science, vol 6981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24485-8_24

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  • DOI: https://doi.org/10.1007/978-3-642-24485-8_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24484-1

  • Online ISBN: 978-3-642-24485-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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