VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

Variable names are critical for conveying intended program behavior. Machine learning-based program analysis methods use variable name representations for a wide range of tasks, such as suggesting new variable names and bug detection. Ideally, such methods could capture semantic relationships betwee...

Celý popis

Podrobná bibliografia

Vydané v:	2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) s. 2327 - 2339
Hlavní autori:	Chen, Qibin, Lacomis, Jeremy, Schwartz, Edward J., Neubig, Graham, Vasilescu, Bogdan, Goues, Claire Le
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 01.05.2022
Predmet:	Bit error rate Codes Computer bugs Data models Semantics Syntactics Training data
ISSN:	1558-1225
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!