Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding

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.