Name
Abstract | ||
|---|---|---|
Software libraries can be used in different ways, but not all of their APIs are well documented in the documentation and programming guides. To recommend an API usage from a query, recently, going beyond searching for existing code, researchers have aimed to generate new API code, by exploring statistical approaches including phrase-based statistical machine translation (SMT) [5], probabilistic CFG [4], AST-based translation [2], and deep neural network [3]. A key limitation of existing approaches is the strict order of translation from left to right, leading to low accuracy in the resulting APIs.
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Year | Venue | Field |
|---|---|---|
2018 | ICSE (Companion Volume) | Programming language,Computer science,Machine translation,Phrase,Real-time computing,Software,Probabilistic logic,Artificial neural network,Documentation |
DocType | ISBN | Citations |
Conference | 978-1-4503-5663-3 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thanh Nguyen | 1 | 24 | 5.76 |
| Tien N. Nguyen | 2 | 1988 | 100.15 |