16 citations · 23 across the 5 of their papers we have counts for
8 papers
Semantic Similarity Metrics for Evaluating Source Code Summarization
Sakib Haque, Zachary Eberhart, Aakash Bansal +1
Source code summarization involves creating brief descriptions of source code in natural language. These descriptions are a key component of software documentation such as JavaDocs…
Generating Clarifying Questions for Query Refinement in Source Code Search
Zachary Eberhart, Collin McMillan
In source code search, a common information-seeking strategy involves providing a short initial query with a broad meaning, and then iteratively refining the query using terms glea…
Dialogue Management for Interactive API Search
Zachary Eberhart, Collin McMillan
API search involves finding components in an API that are relevant to a programming task. For example, a programmer may need a function in a C library that opens a new network conn…
A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant
Zachary Eberhart, Aakash Bansal, Collin McMillan
Virtual Assistant technology is rapidly proliferating to improve productivity in a variety of tasks. While several virtual assistants for everyday tasks are well-known (e.g., Siri,…
A Neural Question Answering System for Basic Questions about Subroutines
Aakash Bansal, Zachary Eberhart, Lingfei Wu +1
A question answering (QA) system is a type of conversational AI that generates natural language answers to questions posed by human users. QA systems often form the backbone of int…
The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant
Zachary Eberhart, Aakash Bansal, Collin McMillan
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…