3 citations · 6 across the 9 of their papers we have counts for
10 papers
Wandercode: An Interaction Design for Code Recommenders to Reduce Information Overload, Ease Exploration, and Save Screen Space
Austin Z. Henley, David Shepherd, Scott D. Fleming
In this paper, we present Wandercode, a novel interaction design for recommender systems that recommend code locations to aid programmers in software development tasks. In particul…
Semantically Aligned Question and Code Generation for Automated Insight Generation
Ananya Singha, Bhavya Chopra, Anirudh Khatry +6
Automated insight generation is a common tactic for helping knowledge workers, such as data scientists, to quickly understand the potential value of new and unfamiliar data. Unfort…
Supporting Annotators with Affordances for Efficiently Labeling Conversational Data
Austin Z. Henley, David Piorkowski
Without well-labeled ground truth data, machine learning-based systems would not be as ubiquitous as they are today, but these systems rely on substantial amounts of correctly labe…
Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities
Bhavya Chopra, Ananya Singha, Anna Fariha +4
Large Language Models (LLMs) are being increasingly employed in data science for tasks like data preprocessing and analytics. However, data scientists encounter substantial obstacl…
Follow-up Attention: An Empirical Study of Developer and Neural Model Code Exploration
Matteo Paltenghi, Rahul Pandita, Austin Z. Henley +1
Recent neural models of code, such as OpenAI Codex and AlphaCode, have demonstrated remarkable proficiency at code generation due to the underlying attention mechanism. However, it…
OpenCBS: An Open-Source COBOL Defects Benchmark Suite
Dylan Lee, Austin Henley, Bill Hinshaw +1
As the current COBOL workforce retires, entry-level developers are left to keep complex legacy systems maintained and operational. This creates a massive gap in knowledge and abili…
How are Software Repositories Mined? A Systematic Literature Review of Workflows, Methodologies, Reproducibility, and Tools
Adam Tutko, Austin Z. Henley, Audris Mockus
With the advent of open source software, a veritable treasure trove of previously proprietary software development data was made available. This opened the field of empirical softw…
An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior
Austin Z. Henley, Julian Ball, Benjamin Klein +2
Novice programmers face numerous barriers while attempting to learn how to code that may deter them from pursuing a computer science degree or career in software development. In th…
A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits
Steffen Herbold, Alexander Trautsch, Benjamin Ledel +45
Context: Tangled commits are changes to software that address multiple concerns at once. For researchers interested in bugs, tangled commits mean that they actually study not only…
More Effective Software Repository Mining
Adam Tutko, Austin Henley, Audris Mockus
Background: Data mining and analyzing of public Git software repositories is a growing research field. The tools used for studies that investigate a single project or a group of pr…