Title :
Assessing massive maintenance processes: an empirical study
Author :
De Lucia, Andrea ; Pannella, Antonello ; Pompella, Eugenio ; Stefanucci, Silvio
Author_Institution :
Fac. of Eng., Univ. of Sannio, Benevento, Italy
Abstract :
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
Keywords :
software development management; software maintenance; software process improvement; Y2K project; adaptive maintenance projects; application portfolio; empirical study; massive maintenance processes assessment; productivity metrics; software enterprise; Cities and towns; Costs; Electrical capacitance tomography; Lab-on-a-chip; Portfolios; Productivity; Programming; Project management; Software maintenance; Time to market;
Conference_Titel :
Software Maintenance, 2001. Proceedings. IEEE International Conference on
Conference_Location :
Florence
Print_ISBN :
0-7695-1189-9
DOI :
10.1109/ICSM.2001.972758