Improving Reproducibility whilst Maintaining Accuracy in Function Point Analysis

Marcos Freitas Jr., Marcelo Fantinato, Violeta Sun, Lucinéia Thom, Vanja Garaj

2019

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@conference{iceis19,
author={Marcos Freitas Jr. and Marcelo Fantinato and Violeta Sun and Lucinéia 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},
}

in EndNote Style

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