Wed 17 Jul 2024 17:16 - 17:30 at Lounge - Poster Session

Recent advancements in code-generating AI technologies, such as ChatGPT and Cody, are set to significantly transform the programming landscape. Utilizing a qualitative methodology, this study presents recommendations on how programmers should extract information from Cody.

Wed 17 Jul

Displayed time zone: Brasilia, Distrito Federal, Brazil change

15:30 - 17:30
15:30
13m
Talk
Comparing Gemini Pro and GPT-3.5 in Algorithmic Problems
Student Research Competition
15:43
13m
Talk
Detecting Code Comment Inconsistencies Using LLM and Program Analysis
Student Research Competition
Yichi Zhang Nanjing University
15:56
13m
Talk
Enhancing Code Representation for Improved Graph Neural Network-Based Fault Localization
Student Research Competition
Md Nakhla Rafi Concordia University
16:10
13m
Talk
Evaluating Social Bias in Code Generation Models
Student Research Competition
Lin Ling Concordia University
16:23
13m
Talk
Productionizing PILAR as a Logstash plugin
Student Research Competition
Aaron Abraham University of Waterloo, Kevin Zhang University of Waterloo, Yash Dani University of Waterloo
16:36
13m
Talk
Studying Privacy Leaks in Android App Logs
Student Research Competition
Zhiyuan Chen Rochester Institute of Technology
16:50
13m
Talk
Towards a Theory for Source Code Rejuvenation
Student Research Competition
Walter Lucas Monteiro de Mendonça University of Brasília
17:03
13m
Talk
Toward systematizing hot fixing for production software
Student Research Competition
Carol Hanna University College London
17:16
13m
Call for papers
Unlocking the Full Potential of AI Chatbots: A Guide to Maximizing Your Digital Companions
Student Research Competition
Chihao Yu University of California, San Diego

Information for Participants
Wed 17 Jul 2024 15:30 - 17:30 at Lounge - Poster Session
Info for room Lounge:

This room is conjoined with the Foyer to provide additional space for the coffee break, and hold poster presentations throughout the event.