Vittorio Marengo

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During its life a legacy system is subjected to many maintenance activities, which cause degradation of the quality of the system: when this degradation exceeds a critical threshold the legacy system needs to be reengineered. In order to preserve the asset represented by the legacy system, the familiarity with it gained by the system’s maintainers and(More)
This paper describes a process of gradual reengineering of the procedural components of a legacy system. The process is integrated and completed by the data reengineering process analyzed in a previous paper by the same authors. The proposed method enables the legacy system to be gradually emptied into the reengineered system, without needing to either(More)
This project started from the necessity to create a taxonomic classification for the management of the Learning Objects (LO) repository used by the LCMS platforms. The classification obtained is now in use for the OSEL project (OSEL website – The OSEL project is financed by the Statistics Department of the University of Bari. The aim is(More)
Numerical induction from data is one of the statistical data analysis tasks, which uses a tabular model, with almost exclusively numerical features, as data representation formalism. The output representations are different: from functions to probability distributions, from surface equations to tables of indexes. One approach to extend the classical data(More)
This will enable an evaluation of the Return On Investment (ROI) using the new concept of Yield Index “e-lYI” (e-learning Yield Index), introduced in this study. The Yield Index “e-lYI” suggests an original way to evaluate the implementation of e-learning methodologies into campus based environments; still, the new index will help professionals involved in(More)
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