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...

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Veröffentlicht in:	Proceedings / International Conference on Software Engineering S. 2445 - 2456
Hauptverfasser:	Remil, Youcef, Bendimerad, Anes, Mathonat, Romain, Raissi, Chedy, Kaytoue, Mehdi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 14.04.2024
Schlagworte:	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
Online-Zugang:	Volltext
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