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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De Lucia, A., Pompella, E., Stefanucci, S. (2006). Assessing Effort Prediction Models for Corrective Software Maintenance. In: Seruca, I., Cordeiro, J., Hammoudi, S., Filipe, J. (eds) Enterprise Information Systems VI. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3675-2_7
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DOI: https://doi.org/10.1007/1-4020-3675-2_7
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