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This program is tentative and subject to change.

Fri 2 May 2025 14:00 - 14:15 at 206 plus 208 - Human and Social 4

Large Language Models (LLMs) are increasingly embedded into software products across diverse industries, enhancing user experiences, but at the same time introducing numerous challenges for developers. Unique characteristics of LLMs force developers, who are accustomed to traditional software development and evaluation, out of their comfort zones as the LLM components shatter standard assumptions about software systems. This study explores the emerging solutions that software developers are adopting to navigate the encountered challenges. Leveraging a mixed-method research, including 26 interviews and a survey with 332 responses, the study identifies 19 emerging solutions regarding quality assurance that practitioners across several product teams at Microsoft are exploring. The findings provide valuable insights that can guide the development and evaluation of LLM-based products more broadly in the face of these challenges.

This program is tentative and subject to change.

Fri 2 May

Displayed time zone: Eastern Time (US & Canada) change

14:00 - 15:30
14:00
15m
Talk
Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products
SE In Practice (SEIP)
Nadia Nahar Carnegie Mellon University, Christian Kästner Carnegie Mellon University, Jenna L. Butler Microsoft Research, Chris Parnin Microsoft, Thomas Zimmermann University of California, Irvine, Christian Bird Microsoft Research
14:15
15m
Talk
Follow-Up Attention: An Empirical Study of Developer and Neural Model Code Exploration
Journal-first Papers
Matteo Paltenghi University of Stuttgart, Rahul Pandita GitHub, Inc., Austin Henley Carnegie Mellon University, Albert Ziegler XBow
14:30
15m
Talk
Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study
SE in Society (SEIS)
Vincenzo De Martino University of Salerno, Silverio Martínez-Fernández UPC-BarcelonaTech, Fabio Palomba University of Salerno
Pre-print
14:45
15m
Talk
Accessibility Issues in Ad-Driven Web Applications
Research Track
Abdul Haddi Amjad Virginia Tech, Muhammad Danish Virginia Tech, Bless Jah Virginia Tech, Muhammad Ali Gulzar Virginia Tech
15:00
7m
Talk
Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses
Journal-first Papers
Wachiraphan (Ping) Charoenwet University of Melbourne, Patanamon Thongtanunam University of Melbourne, Thuan Pham University of Melbourne, Christoph Treude Singapore Management University
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