Work place: Department of Mathematics and Computer Science, University of Udine, Italy
E-mail: maurizio.pighin@uniud.it
Website:
Research Interests: Software Engineering, Computer systems and computational processes, Information Systems, Information Retrieval
Biography
Maurizio Pighin: Professor at the Department of Mathematics and Computer Science of the University of Udine; currently teaches advanced courses of Software Engineering and Information Systems. His major research interests are in the area of Software Engineering and ERP and Data Warehouse Systems. He is the author of more than 70 scientific publications in international journals, books and refereed conference proceedings. He worked at several national and international research and development projects. He is a referee of various international journals. He has been involved in the organization of some important events in the fields of Software Engineering and Information Systems.
By Maurizio Pighin Anna Marzona
DOI: https://doi.org/10.5815/ijitcs.2013.08.02, Pub. Date: 8 Jul. 2013
This article serves two purposes: firstly, it presents an innovative methodology that increases the accuracy of fault prediction measurements. This method is based on the novel concept of "fault persistency", which enables to correct prediction metrics with a weighted value related to the module’s history. Secondly, it aims to develop operational processes from the aforesaid prediction metrics that may contribute to software construction and validation. It presents an example of an allocation methodology for resources used for testing purposes. The theoretical part is followed by an extensive experimental phase.
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