Logo des Repositoriums
 

Error models for the representative injection of software defects

dc.contributor.authorLanzaro, Anna
dc.contributor.authorNatella, Roberto
dc.contributor.authorWinter, Stefan
dc.contributor.authorCotroneo, Domenico
dc.contributor.authorSuri, Neeraj
dc.contributor.editorAßmann, Uwe
dc.contributor.editorDemuth, Birgit
dc.contributor.editorSpitta, Thorsten
dc.contributor.editorPüschel, Georg
dc.contributor.editorKaiser, Ronny
dc.date.accessioned2017-06-30T20:56:12Z
dc.date.available2017-06-30T20:56:12Z
dc.date.issued2015
dc.description.abstractThis paper considers the representativeness of injected error models for ascertaining software defects. Businessand safety-critical systems are more and more relying on software. Therefore, while in the past these systems were mainly threatened by hardware faults, they are today increasingly exposed to software faults, as demonstrated by recent severe software-related accidents [WDS+10]. It is a matter of fact that, despite careful engineering and rigorous quality assurance, critical systems are deployed with residual (unknown) software defects. This problem is exacerbated by the massive reuse of legacy and off-the-shelf software components [Wey98, Voa98]: When a component is reused in a new context, the system may use parts of the component that were previously seldom used and only lightly tested, or may interact with the component in unforeseen ways, thus exposing residual software faults in the component that had not been discovered before. It thus becomes important to adopt software fault tolerance strategies, in order to prevent such residual defects in less critical parts from affecting more critical parts of a system. Software fault injection (SFI) is an experimental approach to assess the dependability of software-intensive systems in the presence of faulty software components, and to guide the development of software fault tolerance mechanisms and algorithms. SFI deliberatelyen
dc.identifier.isbn978-3-88579-633-6
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware-engineering and management 2015
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-239
dc.titleError models for the representative injection of software defectsen
dc.typeText/Conference Paper
gi.citation.endPage119
gi.citation.publisherPlaceBonn
gi.citation.startPage118
gi.conference.date17.-20. März 2015
gi.conference.locationDresden

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
118.pdf
Größe:
33.94 KB
Format:
Adobe Portable Document Format