ICST 2024 (series) / Research Papers /
Improving Patch Correctness Analysis via Random Testing and Large Language Models
This program is tentative and subject to change.
Wed 29 May 2024 11:20 - 11:40 at Room 2 - Testing and LLMs
This program is tentative and subject to change.
Wed 29 MayDisplayed time zone: Eastern Time (US & Canada) change
Wed 29 May
Displayed time zone: Eastern Time (US & Canada) change
11:00 - 12:40 | |||
11:00 20mIndustry talk | Are We Testing or Being Tested? Exploring the Practical Applications of Large Language Models in Software Testing Industry Robson T. de Souza Santos , Italo Santos Northern Arizona University, Cleyton V. C. de Magalhaes CESAR School, Ronnie de Souza Santos University of Calgary | ||
11:20 20mResearch paper | Improving Patch Correctness Analysis via Random Testing and Large Language Models Research Papers Facundo Molina IMDEA Software Institute, Juan Manuel Copia IMDEA Software Institute; Universidad Politécnica de Madrid, Alessandra Gorla IMDEA Software Institute Pre-print | ||
11:40 20mResearch paper | Intent-Driven Mobile GUI Testing with Autonomous Large Language Model Agents Research Papers Juyeon Yoon Korea Advanced Institute of Science and Technology, Robert Feldt Chalmers University of Technology, Sweden, Shin Yoo Korea Advanced Institute of Science and Technology Pre-print | ||
12:00 20mResearch paper | KAT: Dependency-aware Automated API Testing with Large Language Models Research Papers Tri Le , Thien Tran , Duy Cao , Vy Le , Vu Nguyen Head of Research, Katalon Inc.; University of Science, VNU-HCM, Vietnam, Tien N. Nguyen University of Texas at Dallas | ||
12:20 20mResearch paper | Quantizing Large-Language Models for Predicting Flaky Tests Research Papers Shanto Rahman The University of Texas at Austin, Abdelrahman Baz , Sasa Misailovic University of Illinois at Urbana-Champaign, August Shi The University of Texas at Austin | ||