How Design Predicts Failures
| dc.contributor.author | Schröter, Adrian | |
| dc.contributor.author | Zimmermann, Thomas | |
| dc.contributor.author | Zeller, Andreas | |
| dc.date.accessioned | 2023-05-22T10:08:13Z | |
| dc.date.available | 2023-05-22T10:08:13Z | |
| dc.date.issued | 2006 | |
| dc.description.abstract | In 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.identifier.pissn | 0720-8928 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/41602 | |
| dc.language.iso | en | |
| dc.publisher | Geselllschaft für Informatik e.V. | |
| dc.relation.ispartof | Softwaretechnik-Trends Band 26, Heft 2 | |
| dc.title | How Design Predicts Failures | en |
| dc.type | Text/Journal Article | |
| gi.citation.publisherPlace | Bonn | |
| gi.conference.sessiontitle | Berichte aus den Fachgruppen und Arbeitskreisen |
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