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A Comparison of Neural Network Model and Regression Model Approaches Based on Sub-functional Components

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Software Process and Product Measurement (IWSM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5891))

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Abstract

A number of models have been proposed to build a relationship between effort and software size, however we still do have difficulties for effort estimation. ANN and Regression models are two modeling approaches for effort estimation. In this study we investigated whether considering sub-components of sizing methods increase the accuracy of prediction of effort on ANN and Regression models. Our effort models were built by utilizing “sub-components of Cosmic Functional Size”. Besides these subcomponents, “application type” is also considered as input for these models to analyze its effect on effort estimation. We also studied the functional similarity concept by examining its effect on improving the accuracy of these models. The dataset consist of 18 completed projects of the same organization.

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Author information

Authors and Affiliations

  1. ASELSAN MGEO Division,  

    Seçkin Tunalilar

  2. Informatics Institute, Middle East Technical University,  

    Onur Demirors

Authors
  1. Seçkin Tunalilar
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  2. Onur Demirors
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Editor information

Editors and Affiliations

  1. École de technologie supérieure, Département de génie logiciel et des TI, Université du Québec, 1100, rue Notre-Dame Ouest, H3C 1K3, Montréal, Québec, Canada

    Alain Abran

  2. Quality Management and Methods, Processes DCC/QMP, Bosch Rexroth Electric Drives and Controls GmbH, Bürgermeister-Dr.-Nebel Str. 2, 97816, Lohr am Main, Germany

    René Braungarten

  3. Fakultät für Informatik, Institut für Verteilte Systeme, AG Softwaretechnik, Otto-von-Guericke-Universität Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Reiner R. Dumke

  4. Edificio Politécnico, Universidad de Alcalá, O24. Autovía A2, Km. 31,7, 28805, Alcalá de Henares,Madrid, Spainn

    Juan J. Cuadrado-Gallego

  5. School of Media and Communication, University of Applied Science HvA, Weesperzijde 190, 1097, Amsterdam, DZ, The Netherlands

    Jacob Brunekreef

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© 2009 Springer-Verlag Berlin Heidelberg

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Tunalilar, S., Demirors, O. (2009). A Comparison of Neural Network Model and Regression Model Approaches Based on Sub-functional Components. In: Abran, A., Braungarten, R., Dumke, R.R., Cuadrado-Gallego, J.J., Brunekreef, J. (eds) Software Process and Product Measurement. IWSM 2009. Lecture Notes in Computer Science, vol 5891. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05415-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-05415-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05414-3

  • Online ISBN: 978-3-642-05415-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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