2024 Accepted Posters

ID Title Authors Affiliation
1 A Method to Estimate the Execution Times of Quantum Circuits on Quantum Computers Ning Ma Polytechnique Montréal
2 Adaptive Content Classification through Agentic Retrieval-Augmented Generation Mohd Faizan Dalhousie University
3 An Empirical Study on Code Refactoring Capability using Large Language Models Jonathan Cordeiro Queen’s University
4 An empirical study on code review activity prediction in practice Doriane Olewicki Queen’s University
5 An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues Huizi Hao Queen’s University
6 An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification Mohammad Sadegh Sheikhaei Queen’s University
7 An Exploratory Study on the Operations and Smells of Foundation Model Leaderboards Zhimin Zhao Queen’s University
8 Analyzing AI-Generated vs. Human-Written Code: A SonarQube Metrics Assessment Anuj Saini McGill University
9 Benchmarking the Communication Skills of Code Generation for LLMs and LLM Agent Jie JW Wu University of British Columbia
10 BuildJudge: A Context-Aware Large Language Model Based Predictor for Build Outcomes in CI Anirban Dey Queen’s University
11 CatFish « AI Imaging and Analysis for Marine Biology » Noof Al Shehhi Dalhousie University
12 Choosing the Right Bias Mitigation Strategy: Insights from a Comprehensive Benchmark Zakaria Laib Concordia University
13 Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks Zerui Wang Concordia University
14 Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study Md Nadim University of Saskatchewan
15 Which Code is More Robust Against Adversarial Attack: LLM-generated or Human-written? Md Abdul Awal University of Saskatchewan
16 Cost-effective Search-based Prompt Engineering of LLMs for Code Generation Hamed Taherkhani York University
17 Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach Shayan Noei Queen’s University
18 Development of a Multi-Scale Model for Enhanced Performance by Using an Adaptive Soft-Margin SoftMax Loss and its Application for Facial Expression Recognition Armin Nabaei Concordia University
19 Do Attached Images to Bug Reports Contain Meaningful Information? An Empirical Study Shamima Yeasmin University of Saskatchewan
20 Enhancing Healthcare Software Engineering with Microservices Hamid Mcheick UQAC
21 Enhancing Patent Data Semantic Search with a Lightweight Distributed FAISS Approach Anuj Saini McGill University
22 Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems Mohammad Hossein Amini University of Ottawa
23 Exploring PLMs’ Compatibility with R: Vulnerability Analysis and Insights for Code Intelligence Zixiao Zhao University of British Columbia
24 Exploring the Boundaries of Large Language Models in Refactoring Iren Mazloomzadeh Polytechnique Montréal
25 Investigating the Energy Efficiency of Popular Quantization Techniques for AI Models Saurabhsingh Rajput Dalhousie University
26 Investigating the Release Practices of Large Language Models: An Empirical Study Adekunle Ajibode Queen’s University
27 Leveraging Large Language Models for Root Cause Analysis in Cloud Microservices Gayathiri Elamboornan Concordia University
28 Optimal Application-Level Instrumentation for Performance Modeling Kaveh Shahedi Polytechnique Montréal
29 PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4 Seif Abukhalaf Polytechnique Montréal
30 Performance Smells in Code: A Comparative Investigation of Machine Learning and Non-Machine Learning Implementations Francois Belias Polytechnique Montréal
31 Revealing Developers’ Scanning Strategies in Code Review: An Eye-Tracking Study with Unsupervised Learning Sara Yabesi Polytechnique Montréal
32 Revisiting the Naturalness of Attention in Code Language Models Mootez Saad Dalhousie University
33 Similarities and Differences between SE, ML, and QML Processes: A Systematic Literature Review Samiya Afzal Minhas National University of Computer and Emerging Sciences, Pakistan
34 Simulation-Based Testing Framework for Autonomous Robotic Manipulators Dmytro Humeniuk Polytechnique Montréal
35 The Impact of Draft Pull Requests on Accelerating Feedback Firas Harbaoui and Mohammed Sayagh École de technologie supérieure
36 Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study Mehil B Shah Dalhousie University
37 Towards Refining Developer Queries using LLM-Based Named Entity Recognition Pouya Fathollahzadeh Queen’s University
38 Towards Understanding the Challenges of Bug Localization in Deep Learning Systems Sigma Jahan Dalhousie University
39 Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code Vahid Majdinasab Polytechnique Montréal
40 Triage-Bot: An AI-powered Assistive Triage Software Elyas Rashno Queen’s University
41 UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in Ethereum Amir Mohammad Ebrahimi Queen’s University
42 Visual Analysis of Oceanic Multivariate Species (Sharks) Time-Series Data Vegu Shree Rama Kamal Kumar Dalhousie University
43 What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach Xingfang Wu Polytechnique Montréal
44 Wrangling Data Issues to be Wrangled: Literature Review, Taxonomy, and Industry Case Study Qiaolin Qin Polytechnique Montréal