论文标题

APIZA语料库:使用模拟虚拟助手的API使用对话

The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant

论文作者

Eberhart, Zachary, Bansal, Aakash, McMillan, Collin

论文摘要

虚拟助理技术有可能对软件工程领域产生重大影响。但是,很少有与SE相关的数据集适用于虚拟助手的设计或培训。为了帮助为API使用的假设虚拟助手奠定基础,我们设计并进行了一项《巫师》研究以收集这些关键数据。我们雇用了30个专业程序员,通过与模拟虚拟助手进行互动来完成一系列编程任务。对于程序员而言,虚拟助手实际上是由另一位人类专家运营的。在本报告中,我们描述了我们的实验方法,并总结了研究结果。

Virtual assistant technology has the potential to make a significant impact in the field of software engineering. However, few SE-related datasets exist that would be suitable for the design or training of a virtual assistant. To help lay the groundwork for a hypothetical virtual assistant for API usage, we designed and conducted a Wizard-of-Oz study to gather this crucial data. We hired 30 professional programmers to complete a series of programming tasks by interacting with a simulated virtual assistant. Unbeknownst to the programmers, the virtual assistant was actually operated by another human expert. In this report, we describe our experimental methodology and summarize the results of the study.

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