Variance of ML-based software fault predictors: are we really improving fault prediction?
dc.contributor.author | Shahini, Xhulja | |
dc.contributor.author | Bubel, Domenic | |
dc.contributor.author | Metzger, Andreas | |
dc.contributor.editor | Rabiser, Rick | |
dc.contributor.editor | Wimmer, Manuel | |
dc.contributor.editor | Groher, Iris | |
dc.contributor.editor | Wortmann, Andreas | |
dc.contributor.editor | Wiesmayr, Bianca | |
dc.date.accessioned | 2024-02-19T09:22:48Z | |
dc.date.available | 2024-02-19T09:22:48Z | |
dc.date.issued | 2024 | |
dc.identifier.doi | 10.18420/sw2024_26 | |
dc.identifier.isbn | 978-3-88579-737-1 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43569 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Software Engineering 2024 (SE 2024) | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-343 | |
dc.subject | Machine learning | |
dc.subject | Fault prediction | |
dc.subject | Quality assurance | |
dc.subject | Variance analysis | |
dc.subject | Non-determinism | |
dc.title | Variance of ML-based software fault predictors: are we really improving fault prediction? | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 90 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 89 | |
gi.conference.date | 26. Februar-1. März 2024 | |
gi.conference.location | Linz, Österreich | |
gi.conference.sessiontitle | Artificial Intelligence |
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