Di Leo, Domenico (2013) Robustness Evaluation of Software Systems through Fault Injection. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: Robustness Evaluation of Software Systems through Fault Injection
Creators:
CreatorsEmail
Di Leo, Domenicodomenico.dileo@unina.it
Date: 30 March 2013
Number of Pages: 118
Institution: Università degli Studi di Napoli Federico II
Department: Informatica e sistemistica
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 25
Coordinatore del Corso di dottorato:
nomeemail
Garofalo, Francescofranco.garofalo@unina.it.
Tutor:
nomeemail
Cotroneo, Domenicocotroneo@unina.it
Date: 30 March 2013
Number of Pages: 118
Uncontrolled Keywords: Fault injection, robustness, safety critical system, SWIFI, fault tolerance, dependability,
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 - Sistemi di elaborazione delle informazioni
Aree tematiche (7° programma Quadro): TECNOLOGIE DELL'INFORMAZIONE E DELLA COMUNICAZIONE > Macchine "più intelligenti", servizi migliori
Date Deposited: 05 Apr 2013 12:18
Last Modified: 04 Dec 2014 08:23
URI: http://www.fedoa.unina.it/id/eprint/9257
DOI: 10.6092/UNINA/FEDOA/9257

Abstract

Over the last decades, software has been introduced in desperate safety domains, such as automotive, avionics and railways, just to name a few. For these domains, software is demanded to be highly robust to hardware faults and software faults since its failure may endanger human life, harm the environment, or cause economical loss. Fault injection, the deliberate inoculation of faults, is a powerful means to assess the robustness of software components that goes far beyond traditional testing techniques. Fault Injection encompasses several techniques, among them robustness testing and software implemented fault injection, which emulate software faults and hardware faults, respectively. Despite the intensive use of these techniques, their application is still costly. This thesis focuses on robustness testing and software implemented fault injection, for both analyzes the �effect of workload on the experiment outcomes. Furthermore, the thesis suggests approaches to make the fault injection techniques more cost-effective by leveraging on the workload.

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