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Functional Size Measurement Method for Object-Oriented Conceptual Schemas: Design and Evaluation Issues


  • G. POELS




Functional Size Measurement (FSM) methods are intended to measure the size of software by quantifying the functional user requirements of the software. The capability to accurately quantify the size of software in an early stage of the development lifecycle is critical to software project managers for evaluating risks, developing project estimates and having early project indicators. In this paper we present OO-Method Function Points (OOmFP), a new FSM method for object-oriented systems that is based on measuring conceptual schemas. OOmFP is presented following the steps of a process model for software measurement. Using this process model we present the design of the measurement method, its application in a case study, and the analysis of different evaluation types that can be carried out to validate the method and to verify its application and results.

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  • S. Abrahão & G. Poels & O. Pastor, 2004. "Functional Size Measurement Method for Object-Oriented Conceptual Schemas: Design and Evaluation Issues," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/233, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:04/233

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    1. Desai, Vijay S. & Crook, Jonathan N. & Overstreet, George A., 1996. "A comparison of neural networks and linear scoring models in the credit union environment," European Journal of Operational Research, Elsevier, vol. 95(1), pages 24-37, November.
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    3. Thomas, L.C. & Ho, J. & Scherer, W.T., 2001. "Time will tell: Behavioural Scoring and the Dynamics of Consumer Credit Assessment," Papers 01-174, University of Southampton - Department of Accounting and Management Science.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    5. Baesens, Bart & Viaene, Stijn & Van den Poel, Dirk & Vanthienen, Jan & Dedene, Guido, 2002. "Bayesian neural network learning for repeat purchase modelling in direct marketing," European Journal of Operational Research, Elsevier, vol. 138(1), pages 191-211, April.
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    Conceptual Modeling; Object Orientation; Software Measurement; Functional Size Measurement; Measure Validation; Measurement Verification.;

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