DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection

Automatic crash bucketing is a crucial phase in the software de-velopment process for efficiently triaging bug reports. It generally consists in grouping similar reports through clustering techniques. However, with real-time streaming bug collection, systems are needed to quickly answer the question...

Celý popis

Podrobná bibliografia

Vydané v:	Proceedings / International Conference on Software Engineering s. 2445 - 2456
Hlavní autori:	Remil, Youcef, Bendimerad, Anes, Mathonat, Romain, Raissi, Chedy, Kaytoue, Mehdi
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 14.04.2024
Predmet:	Approximate nearest neighbors Computer bugs Crash deduplication Hash functions Locality-sensitive hashing Measurement Nearest neighbor methods Neural networks Search problems Siamese neural networks Software Stack trace similarity
ISSN:	1558-1225
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!