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Assessing massive maintenance processes: an empirical study

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4 Author(s)
De Lucia, A. ; Fac. of Eng., Univ. of Sannio, Benevento, Italy ; Pannella, A. ; Pompella, E. ; Stefanucci, S.

We present an empirical study from the experience of a major. international software enterprise in conducting massive adaptive maintenance projects with a close deadline. The adopted process entails the decomposition of the application portfolio into loosely coupled work-packets that can be independently and incrementally worked out by teams distributed on different sites. The study analyzes the correlation between maintenance size and productivity metrics of a large Y2K project. The resulting models allows to estimate the costs of a project conducted according to the adopted massive maintenance process and distribute them among the different phases

Published in:
Software Maintenance, 2001. Proceedings. IEEE International Conference on

Date of Conference: 2001

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