Architecture-Based Run-Time Fault Diagnosis

Abstract. An important step in achieving robustness to run-time faults is the ability to detect and repair problems when they arise in a running system. Effective fault detection and repair could be greatly enhanced by run-time fault diagnosis and localization, since it would allow the repair mechanisms to focus adaptation effort on the parts most in need of attention. In this paper we describe an approach to run-time fault diagnosis that combines architectural models with spectrum-based reasoning for multiple fault localization. Spectrum-based reasonlightweight technique that takes a form of trace abstraction and produces a list (ordered by probability) of likely fault candidates. We show how this technique can be combined with architectural models to support run-time diagnosis that can (a) scale to modern distributed software systems; (b) accommodate the use of black-box components and proprietary infrastructure for which one has neither a specification nor source code; and (c) hand...

• Type: Journal
• Year: 2011
• Where: ECSA
• Authors: Paulo Casanova, Bradley R. Schmerl, David Garlan, Rui Abreu
• Keywords: ECSA 2011, Fault Localization, Software Engineering, Time Faults, Transient Faults