Zur Kurzanzeige

dc.contributor.authorSchröter, Adrian
dc.contributor.authorZimmermann, Thomas
dc.contributor.authorZeller, Andreas
dc.date.accessioned2023-05-22T10:08:13Z
dc.date.available2023-05-22T10:08:13Z
dc.date.issued2006
dc.identifier.issn0720-8928
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/41602
dc.description.abstractIn an empirical study of 52 ECLIPSE plug-ins, we found that the software design as well as past failure history, can be used to build support vector machines which accurately predict failure-prone components in new programs. Our prediction only requires usage relationships between components, which are typically defined in the design phase; thus, designers can easily explore and assess design alternatives in terms of predicted quality.en
dc.language.isoen
dc.publisherGeselllschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 26, Heft 2
dc.titleHow Design Predicts Failuresen
dc.typeJournal Articles
dc.pubPlaceBonn
mci.conference.sessiontitleBerichte aus den Fachgruppen und Arbeitskreisen


Dateien zu dieser Ressource

Thumbnail

Zur Kurzanzeige