Work place: LiberaMente Srl, Udine, Italy
E-mail: amarzona@mentelibera.it
Website:
Research Interests: Computational Engineering, Software Development Process, Software Engineering
Biography
Anna Marzona: Contract Professor at the Department of Mathematics and Computer Science of the University of Udine; currently teaches courses of Information Systems and Data Warehouse at the University of Udine. Her major research interests are in the area of Software Engineering and ERP Systems. She is a member of the Academic Spinoff LiberaMente Srl, a company that deals with design and implementation of computerized processes and data analysis systems for SMEs and the public sector.
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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