42 results on '"Austin Z. Henley"'
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2. Investigating Student Mistakes in Introductory Data Science Programming.
3. Follow-Up Attention: An Empirical Study of Developer and Neural Model Code Exploration.
4. Inline Visualization and Manipulation of Real-Time Hardware Log for Supporting Debugging of Embedded Programs.
5. Towards More Effective AI-Assisted Programming: A Systematic Design Exploration to Improve Visual Studio IntelliCode's User Experience.
6. How Novices Use LLM-based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment.
7. What Is Your Biggest Pain Point?: An Investigation of CS Instructor Obstacles, Workarounds, and Desires.
8. CoWrangler: Recommender System for Data-Wrangling Scripts.
9. Detangler: Helping Data Scientists Explore, Understand, and Debug Data Wrangling Pipelines.
10. Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning.
11. Wandercode: An Interaction Design for Code Recommenders to Reduce Information Overload, Ease Exploration, and Save Screen Space.
12. Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition.
13. CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs.
14. Supporting Annotators with Affordances for Efficiently Labeling Conversational Data.
15. OpenCBS: An Open-Source COBOL Defects Benchmark Suite.
16. Characterizing Work-Life for Information Work on Mars: A Design Fiction for the New Future of Work on Earth.
17. Building Your Own Product Copilot: Challenges, Opportunities, and Needs.
18. Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities.
19. An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior.
20. CodeRibbon: More Efficient Workspace Management and Navigation for Mainstream Development Environments.
21. Supporting Code Comprehension via Annotations: Right Information at the Right Time and Place.
22. What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities.
23. Extracting Meaningful Attention on Source Code: An Empirical Study of Developer and Neural Model Code Exploration.
24. How are Software Repositories Mined? A Systematic Literature Review of Workflows, Methodologies, Reproducibility, and Tools.
25. Towards an Empirically-Based IDE: An Analysis of Code Size and Screen Space.
26. CodeDeviant: Helping Programmers Detect Edits That Accidentally Alter Program Behavior.
27. A fine-grained data set and analysis of tangling in bug fixing commits.
28. Foraging goes mobile: Foraging while debugging on mobile devices.
29. Toward Principles for the Design of Navigation Affordances in Code Editors: An Empirical Investigation.
30. Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.
31. More Effective Software Repository Mining.
32. Foraging and navigations, fundamentally: developers' predictions of value and cost.
33. An Empirical Evaluation of Models of Programmer Navigation.
34. Yestercode: Improving code-change support in visual dataflow programming environments.
35. To fix or to learn? How production bias affects developers' information foraging during debugging.
36. Helping programmers navigate code faster with Patchworks: A simulation study.
37. The patchworks code editor: toward faster navigation with less code arranging and fewer navigation mistakes.
38. CFar: A Tool to Increase Communication, Productivity, and Review Quality in Collaborative Code Reviews.
39. Designing affordances for navigating information spaces in code editors.
40. Improving source code navigation with patchworks.
41. An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior
42. 2017 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2017, Raleigh, NC, USA, October 11-14, 2017
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