ASSESSING EFFORT PREDICTION MODELS FOR CORRECTIVE SOFTWARE MAINTENANCE - An empirical study

Andrea De Lucia, Eugenio Pompella, Silvio Stefanucci

Abstract

We present an assessment of an empirical study aiming at building effort estimation models for corrective maintenance projects. We show results from the application of the prediction models to a new corrective maintenance project within the same enterprise and the same type of software systems used in a previous study. The data available for the new project are finer grained according to the indications devised in the first study. This allowed to improve the confidence in our previous empirical analysis by confirming most of the hypotheses made and to provide other useful indications to better understand the maintenance process of the company in a quantitative way.

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Paper Citation


in Harvard Style

De Lucia A., Pompella E. and Stefanucci S. (2004). ASSESSING EFFORT PREDICTION MODELS FOR CORRECTIVE SOFTWARE MAINTENANCE - An empirical study . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 972-8865-00-7, pages 383-390. DOI: 10.5220/0002595603830390


in Bibtex Style

@conference{iceis04,
author={Andrea De Lucia and Eugenio Pompella and Silvio Stefanucci},
title={ASSESSING EFFORT PREDICTION MODELS FOR CORRECTIVE SOFTWARE MAINTENANCE - An empirical study},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2004},
pages={383-390},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002595603830390},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - ASSESSING EFFORT PREDICTION MODELS FOR CORRECTIVE SOFTWARE MAINTENANCE - An empirical study
SN - 972-8865-00-7
AU - De Lucia A.
AU - Pompella E.
AU - Stefanucci S.
PY - 2004
SP - 383
EP - 390
DO - 10.5220/0002595603830390