Predicting Program Properties from 'Big Code'.

We present a new approach for predicting program properties from large codebases (aka "Big Code"). Our approach learns a probabilistic model from "Big Code" and uses this model to predict properties of new, unseen programs. The key idea of our work is to transform the program into a representation t...

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Detalles Bibliográficos

Publicado en:	Communications of the ACM Vol. 62; no. 3; pp. 99 - 108
Autores principales:	Raychev, Veselin, Vechev, Martin, Krause, Andreas
Formato:	Artículo
Publicado:	Association for Computing Machinery Mar2019
Materias:	Computer programming Automation JavaScript programming language Machine learning Computer software
Acceso en línea:	Ver este registro en EBSCOhost