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X-ORIGINAL-URL:https://lassonde.yorku.ca/
X-WR-CALNAME:Lassonde School of Engineering
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BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=America/Toronto:20240830T110000
DTEND;TZID=America/Toronto:20240830T120000
DTSTAMP:20240826T155800
UID:MEC-b565d07ce0d8042c5339aba01c0a9c9e@lassonde.yorku.ca
CREATED:20240826
LAST-MODIFIED:20240826
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:AI + SE Seminar Series: Reyhan Jabbarvand Behrouz
DESCRIPTION:\nBeyond Crafted Benchmarks, Using LLMs to Automate Software Engineering Tasks in Real-World Projects\n\n\nLarge Language Models (LLMs) are the new automation technology to explore for software development and maintenance. State-of-the-art LLMs and techniques leveraging them for code-related tasks are mostly evaluated on crafted benchmarks (mostly not reflective of the complexity of real-world projects) and under very simple tasks (even if the studied programs are real-world projects, the tasks are very simple). In this presentation, I will first talk about the challenges of using LLMs for (1) whole-repository code translation and (2) code synthesis for repairing test flakiness in real-world projects. After discussing such challenges, I will talk about how neuro-symbolic approaches that combine the generalizability of LLMs and the soundness of program analysis can overcome these challenges.\n\nBio\nReyhan Jabbarvand is an Assistant Professor of Computer Science at the University of Illinois, Urbana-Champaign. Her research interests lie at the intersection of Program Analysis and Artificial Intelligence. Reyhan received her PhD from the University of California, Irvine, where her research on energy testing of mobile applications was recognized by a Google PhD Fellowship. As a faculty, she has been the recipient of the NSF CAREER award, and her research has been supported by grants from NSF, IBM, and C3.ai.\nFor more details, please visit: https://reyhaneh.cs.illinois.edu/ ( https://reyhaneh.cs.illinois.edu/ )\nRegister on Zoom ( https://yorku.zoom.us/meeting/register/tJItdemhpj4uH9KfUp7q7jAIqHLZ47dOA9JM )\n
URL:https://lassonde.yorku.ca/events/ai-se-seminar-series-3-238-337
ORGANIZER;CN=Lassonde School of Engineering:MAILTO:
CATEGORIES:Electrical Engineering & Computer Science
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