ICSE 2024 (series) / InteNSE 2024 (series) /
InteNSE 2024 Program
This is the InteNSE 2024 program - see the full program for ICSE 2024 and all affiliated events.
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Mon 15 Apr 2024
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Daciano da Costa
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Mon 15 AprDisplayed time zone: Lisbon change
Mon 15 Apr
Displayed time zone: Lisbon change
09:00 - 10:30 | Early Morning SessionInteNSE at Daciano da Costa Chair(s): Reyhaneh Jabbarvand University of Illinois at Urbana-Champaign, Saeid Tizpaz-Niari University of Texas at El Paso | ||
09:00 20mPaper | An Empirical Comparison of Code Generation Approaches for Ansible InteNSE Benjamin Darnell University of California, Santa Barbara, Hetarth Chopra University of Illinois at Urbana-Champaign, Aaron Councilman Univ of Illinois Urbana-Champaign, David Grove IBM Research, Vikram S. Adve University of Illinois at Urbana-Champaign, USA | ||
09:20 70mKeynote | Towards an Interpretable Science of Deep Learning for Software Engineering: A Causal Inference View InteNSE Denys Poshyvanyk William & Mary | ||
11:00 - 12:30 | Late Morning SessionInteNSE at Daciano da Costa Chair(s): Reyhaneh Jabbarvand University of Illinois at Urbana-Champaign, Saeid Tizpaz-Niari University of Texas at El Paso | ||
11:00 70mKeynote | Assured LLM-Based Software Engineering InteNSE Mark Harman Meta Platforms, Inc. and UCL | ||
12:10 20mPaper | An Exploratory Study on How Non-Determinism in Large Language Models Affects Log Parsing InteNSE Merve Astekin Simula Research Laboratory, Max Hort Simula Research Laboratory, Leon Moonen Simula Research Laboratory and BI Norwegian Business School | ||
14:00 - 15:30 | Afternoon SessionInteNSE at Daciano da Costa Chair(s): Reyhaneh Jabbarvand University of Illinois at Urbana-Champaign, Saeid Tizpaz-Niari University of Texas at El Paso | ||
13:30 2hTutorial | Tutorial on Neuro-symbolic Programming InteNSE | ||
16:00 - 17:30 | Late Afternoon SessionInteNSE at Daciano da Costa Chair(s): Reyhaneh Jabbarvand University of Illinois at Urbana-Champaign, Saeid Tizpaz-Niari University of Texas at El Paso | ||
16:00 30mTalk | Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion InteNSE Shizhuo Zhang University of Illinois Urbana-Champaign Pre-print | ||
16:30 30mTalk | SWE-bench: Can Language Models Resolve Real-World GitHub Issues? InteNSE John Yang Princeton Pre-print | ||
17:00 30mDay closing | InteNSE 2024 Closing Remarks InteNSE Reyhaneh Jabbarvand University of Illinois at Urbana-Champaign | ||