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Authors: Marcos Freitas Jr. 1 ; Marcelo Fantinato 1 ; Violeta Sun 1 ; Lucinéia Thom 2 and Vanja Garaj 3

Affiliations: 1 School of Arts, Sciences and Humanities, University of São Paulo, São Paulo – SP and Brazil ; 2 Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre – RS and Brazil ; 3 Department of Electronic and Computer Engineering, Brunel University London and U.K.

ISBN: 978-989-758-372-8

Keyword(s): Function Point Analysis, Function Points, Business Processes, Functional Size, Functional Size Measurement.

Abstract: Existing proposals to improve the measurement reproducibility of Function Point Analysis (FPA) oversimplify its standard rules, threatening its measurement accuracy. We introduce a new artifact called Function Point Tree (FPT), which allows for full data collection required to count function points, reducing the experts’ personal interpretation and thus the size variation. The new measurement method, called FPT-based FPA (FPT-FPA), enlarges FPA standardization and systematization. Using this method allows to improve measurement reproducibility whilst maintaining its accuracy. Preliminary results of an empirical study show coefficients of variation for FTP-FPA lower than the maximum expected for both reproducibility and accuracy for some scenarios.

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Paper citation in several formats:
Freitas Jr., M.; Fantinato, M.; Sun, V.; Thom, L. and Garaj, V. (2019). Improving Reproducibility whilst Maintaining Accuracy in Function Point Analysis.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-372-8, pages 61-72. DOI: 10.5220/0007671700610072

@conference{iceis19,
author={Marcos De Freitas Jr.. and Marcelo Fantinato. and Violeta Sun. and Lucinéia H. Thom. and Vanja Garaj.},
title={Improving Reproducibility whilst Maintaining Accuracy in Function Point Analysis},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2019},
pages={61-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007671700610072},
isbn={978-989-758-372-8},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Improving Reproducibility whilst Maintaining Accuracy in Function Point Analysis
SN - 978-989-758-372-8
AU - Freitas Jr., M.
AU - Fantinato, M.
AU - Sun, V.
AU - Thom, L.
AU - Garaj, V.
PY - 2019
SP - 61
EP - 72
DO - 10.5220/0007671700610072

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