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Sixth European Conference on Software Maintenance and Reengineering
Empirical Analysis of Massive Maintenance Processes
Budapest, Hungary
March 11-March 13
ISBN: 0-7695-1438-3
Andrea de Lucia, University of Sannio
Antonello Pannella, University of Sannio
Silvio Stefanucci, University of Sannio
Eugenio Pompella, EDS Italia Software S.p.A.
We present initial results of applying statistical control techniques to the massive maintenance processes of a software organization rated at the CMM level 3. In particular, we present results from an empirical study conducted on a large massive adaptive maintenance project. In a previous study we analyzed the correlation between the maintenance size and productivity metrics and produced models to estimate the costs of a project conducted according to the adopted maintenance processes [13]. In this paper we analyze data about the single phases of the process and in particular the distribution of the effort among the phases and the causes of variations.
Index Terms:
Massive Software Maintenance, Statistical Process Control, Effort Distribution Analysis
Citation:
Andrea de Lucia, Antonello Pannella, Silvio Stefanucci, Eugenio Pompella, "Empirical Analysis of Massive Maintenance Processes," csmr, pp.0005, Sixth European Conference on Software Maintenance and Reengineering, 2002
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