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.

Fault Persistency and Fault Prediction in Optimization of Software Release / PIGHIN M; MARZONA A. - In: INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND COMPUTER SCIENCE. - ISSN 2074-9015. - ELETTRONICO. - 5:8(2013), pp. 15-23.

Fault Persistency and Fault Prediction in Optimization of Software Release

PIGHIN, Maurizio;MARZONA, Anna
2013

Abstract

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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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11390/866717
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