Skip to content
J·BJon BishopIndependent growth marketer

Developer experience · Empirical human-computer interaction study

Follow-Up Attention: An Empirical Study of Developer and Neural Model Code Exploration

IEEE Transactions on Software Engineering · 2024

Matteo Paltenghi, Rahul Pandita, Austin Z. Henley, Albert Ziegler

Summary

Studies follow-up attention and code exploration behavior when developers interact with neural models.

For your marketing

Possible founder application

Evaluate AI coding tools on downstream comprehension and navigation, not just initial suggestion acceptance.

Reported result

What the study found

Studies follow-up attention and code exploration behavior when developers interact with neural models.

Research question

What the authors investigated

How does the study’s stated design explain its reported outcome in this setting?

Design

Empirical human-computer interaction study

Sample and setting

Developers exploring code with neural-model assistance; abstract-only

Scope and transfer

Limitations to keep in view

Abstract-only evidence leaves task mix, participant details, and production generalizability unclear.

Research sources

abstract_only

Prefer to write? Send Jon a message.