Poster: Inferring API Elements Relevant to an English Query
2018 IEEE/ACM 40th International Conference on Software Engineering: Companion (ICSE-Companion)(2018)
摘要
We develop a context-sensitive machine translation approach that takes as query a given English description of a programming task, and infers the corresponding API elements for the task by learning from large training corpus. To determine those API elements, we consider the context of the words in the textual query and the context of API elements that often go together in the corpus. We formulate the problem as a set-based statistical machine translation. Our empirical evaluation shows a promising result for our technique.
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关键词
Statistical Machine Translation,Text to Code Translation,API elements
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