EASE 2025 (series) / AI Models / Data /
Assertions Messages with Large Language Models (LLMs) for Code
Wed 18 JunDisplayed time zone: Athens change
Wed 18 Jun
Displayed time zone: Athens change
11:00 - 12:30 | LLMs for SEAI Models / Data / Short Papers, Emerging Results at Senate Hall Chair(s): Ouijdane Guiza Pro2Future GmbH | ||
11:00 10mTalk | Paradigm shift on Coding Productivity Using GenAI Short Papers, Emerging Results Liang Yu Blekinge Institute of Technology Pre-print | ||
11:10 15mTalk | Towards Automated Detection of Inline Code Comment Smells AI Models / Data Pre-print | ||
11:25 10mShort-paper | Towards Effective Issue Assignment using Online Machine Learning Short Papers, Emerging Results Athanasios Michailoudis Aristotle University of Thessaloniki, Themistoklis Diamantopoulos Electrical and Computer Engineering Dept, Aristotle University of Thessaloniki, Antonios Favvas Aristotle University of Thessaloniki, Andreas Symeonidis Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki Pre-print | ||
11:35 10mTalk | Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code Short Papers, Emerging Results Michele Carissimi University of Milano-Bicocca, Martina Saletta University of Bergamo, Claudio Ferretti University of Milano-Bicocca Pre-print | ||
11:45 15mTalk | Analyzing Prominent LLMs: An Empirical Study of Performance and Complexity in Solving LeetCode Problems AI Models / Data Everton Guimaraes Pennsylvania State University, Nathalia Nascimento Pennsylvania State University, Asish Nelapati Pennsylvania State University, Chandan Shivalingaiah Pennsylvania State University | ||
12:00 15mTalk | Assertions Messages with Large Language Models (LLMs) for Code AI Models / Data Ahmed Aljohani University of North Texas, Anamul Haque Mollah University of North Texas, Hyunsook Do University of North Texas | ||
12:15 15mTalk | Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 AI Models / Data Pre-print | ||