Not logged in.
Quick Search - Contribution
Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Guided Code Synthesis using Deep Neural Networks |
| Organization Unit | |
| Authors |
|
| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published electronically before print/final form (Epub ahead of print) |
| Language |
|
| Event Title | ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE) |
| Event Type | conference |
| Event Location | Seattle |
| Event Start Date | November 13 - 2016 |
| Event End Date | November 18 - 2016 |
| Place of Publication | Seattle |
| Abstract Text | Can we teach computers how to program? Recent advances in neural network research reveal that certain neural networks are able not only to learn the syntax, grammar and semantics of arbitrary character sequences, but also synthesize new samples `in the style of' the original training data. We explore the adaptation of these techniques to code classification, comprehension and completion. |
| PDF File |
Download
|
| Export |
BibTeX
EP3 XML (ZORA)
|