CAIN 2024
Sun 14 - Mon 15 April 2024 Lisbon, Portugal
co-located with ICSE 2024
Mon 15 Apr 2024 15:00 - 15:10 at Pequeno Auditório - LLMs and Testing Chair(s): Roland Weiss

Machine learning (ML), especially with the emergence of large language models (LLMs), has significantly transformed various industries. However, the transition from ML model prototyping to production use within software systems presents several challenges. These challenges primarily revolve around ensuring safety, security, and transparency, subsequently influencing the overall robustness and trustworthiness of ML models. In this paper, we introduce ML-On-Rails, a protocol designed to safeguard ML models, establish a well-defined endpoint interface for different ML tasks, and clear communication between ML providers and ML consumers (software engineers). ML-On-Rails enhances the robustness of ML models via incorporating detection capabilities to identify unique challenges specific to production ML. We evaluated the ML-On-Rails protocol through a real-world case study of the MoveReminder application. Through this evaluation, we emphasize the importance of safeguarding ML models in production.

Mon 15 Apr

Displayed time zone: Lisbon change

14:00 - 15:30
14:00
15m
Talk
A Combinatorial Testing Approach to Hyperparameter OptimizationDistinguished paper Award Candidate
Research and Experience Papers
Krishna Khadka The University of Texas at Arlington, Jaganmohan Chandrasekaran Virginia Tech, Jeff Yu Lei University of Texas at Arlington, Raghu Kacker National Institute of Standards and Technology, D. Richard Kuhn National Institute of Standards and Technology
14:15
15m
Talk
Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs
Research and Experience Papers
Ziyu Li University of Sheffield, Donghwan Shin University of Sheffield
14:30
10m
Talk
LLMs for Test Input Generation for Semantic Applications
Research and Experience Papers
Zafaryab Rasool Applied Artificial Intelligence Institute, Deakin University, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, David Willie Applied Artificial Intelligence Institute, Deakin University, Stefanus Kurniawan Deakin University, Sherwin Balugo Applied Artificial Intelligence Institute, Deakin University, Srikanth Thudumu Deakin University, Mohamed Abdelrazek Deakin University, Australia
14:40
10m
Talk
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs
Research and Experience Papers
MA Wanqin The Hong Kong University of Science and Technology, Chenyang Yang Carnegie Mellon University, Christian Kästner Carnegie Mellon University
14:50
10m
Talk
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
Research and Experience Papers
Ali Nouri Volvo cars & Chalmers University of Technology, Beatriz Cabrero-Daniel University of Gothenburg, Fredrik Torner Volvo cars, Hakan Sivencrona Zenseact AB, Christian Berger Chalmers University of Technology, Sweden
15:00
10m
Talk
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study
Research and Experience Papers
Hala Abdelkader Applied Artificial Intelligence Institute, Deakin University, Mohamed Abdelrazek Deakin University, Australia, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, Jean-Guy Schneider Monash University, Priya Rani RMIT University, Rajesh Vasa Deakin University, Australia
15:10
20m
Live Q&A
Test - Q&A Session
Research and Experience Papers