Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding
| dc.contributor.author | Weigelt, Sebastian | |
| dc.contributor.author | Steurer, Vanessa | |
| dc.contributor.author | Hey, Tobias | |
| dc.contributor.author | Tichy, Walter | |
| dc.contributor.editor | Koziolek, Anne | |
| dc.contributor.editor | Schaefer, Ina | |
| dc.contributor.editor | Seidl, Christoph | |
| dc.date.accessioned | 2020-12-17T11:58:04Z | |
| dc.date.available | 2020-12-17T11:58:04Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | With fuSE laypeople can create simple programs: one can teach intelligent systems new functions using plain English. fuSE uses deep learning to synthesize source code: it creates method signatures (for newly learned functions) and generates API calls (to form the body). In an evaluation on an unseen dataset fuSE synthesized 84.6% of the signatures and 66.9% of the API calls correctly. | en |
| dc.identifier.doi | 10.18420/SE2021_46 | |
| dc.identifier.isbn | 978-3-88579-704-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/34543 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Software Engineering 2021 | |
| dc.relation.ispartofseries | ecture Notes in Informatics (LNI) - Proceedings, Volume P-310 | |
| dc.subject | Programming in Natural Language | |
| dc.subject | End-User Programming | |
| dc.subject | Deep Learning | |
| dc.subject | AI | |
| dc.subject | NLP | |
| dc.title | Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding | en |
| dc.type | Text/ConferencePaper | |
| gi.citation.endPage | 118 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 117 | |
| gi.conference.date | 22.-26. Februar 2021 | |
| gi.conference.location | Braunschweig/Virtuell |
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