Spectrum-based fault localization in deployed embedded systems with driver interaction models

Autor(en): Gabor, U.T.
Dierl, S.
Spinczyk, O. 
Herausgeber: Romanovsky, A.
Troubitsyna, E.
Bitsch, F.
Stichwörter: Computer debugging; Computer software selection and evaluation; Driver interaction; Embedded software; Engine control unit; Engines; Failure detection; Fault localization; Fault tolerance; Monitoring; Monitoring system; Practical combustion; Program debugging; Reliability; Software quality; Software Quality, Embedded systems; Software reliability; Software reliability, Debugging hardware
Erscheinungsdatum: 2019
Herausgeber: Springer Verlag
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen: 11698 LNCS
Startseite: 97
Seitenende: 112
Zusammenfassung: 
Software faults are still a problem especially in deployed systems. We propose a new approach to monitor a deployed embedded system with another embedded system, which acts autonomously and isolated. The monitoring system generates reports containing probable fault locations, which can later be obtained without requiring expensive debugging hardware or continuous access to the monitored embedded system. For this, we assessed failure-detection oracles, transaction detectors and suspiciousness metrics and evaluated them in a practical combustion engine scenario. Especially, we propose a driver interaction model to capture correct interaction with periphery and use it as oracle. Our results show that for the repetitive behavior of an engine control unit, simple approaches perform best. © Springer Nature Switzerland AG 2019.
Beschreibung: 
Conference of 38th International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2019 ; Conference Date: 10 September 2019 Through 13 September 2019; Conference Code:231509
ISBN: 9783030266004
ISSN: 03029743
DOI: 10.1007/978-3-030-26601-1_7
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072857081&doi=10.1007%2f978-3-030-26601-1_7&partnerID=40&md5=0c7c23311fc1e6572edbe791d5b4ef30

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