1 citations · 1 across the 6 of their papers we have counts for
4 papers · 1 filter
Who Writes the Docs in SE 3.0? Agent vs. Human Documentation Pull Requests
Kazuma Yamasaki, Joseph Ayobami Joshua, Tasha Settewong +3
As software engineering moves toward SE3.0, AI agents are increasingly used to carry out development tasks and contribute changes to software projects. It is therefore important to…
Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases
Hidetake Tanaka, Haruto Tanaka, Kazumasa Shimari +1
As Large Language Models (LLMs) increasingly generate code in software development, ensuring the quality of LLM-generated code has become important. Traditional testing approaches…
eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis
Haruhiko Yoshioka, Kazumasa Shimari, Hidetake Uwano +1
This paper presents eye2vec, an infrastructure for analyzing software developers' eye movements while reading source code. In common eye-tracking studies in program comprehension,…
Uncovering Intention through LLM-Driven Code Snippet Description Generation
Yusuf Sulistyo Nugroho, Farah Danisha Salam, Brittany Reid +3
Documenting code snippets is essential to pinpoint key areas where both developers and users should pay attention. Examples include usage examples and other Application Programming…