| Poster Code | Poster Title | Presenter | Affiliaiton |
| P1 | Dependency Update Strategies and Package Characteristics | Abbas Javan | Concordia University |
| P2 | Privacy Aware Deployment in Hybrid Clouds | Alexandre Verdet | Polytechnique Montréal |
| P3 | What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow | Amin Ghadesi | Polytechnique Montréal |
| P4 | Machine Learning Package Clones in the NPM Ecosystem | Antonio Collante | Concordia University |
| P5 | GitHub Copilot AI pair programmer: Asset or Liability | Arghavan Morad | Polytechnique Montréal |
| P6 | Déjà Vu! On the Similarity Analysis of Code Generation by Few-Shot Language Model | Bo Yang | Concordia University |
| P7 | If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components | Boyue Caroline Hu | University of Toronto |
| P8 | Backporting for Version Management: Automated Changesets Integration in Software Repositories | Debasish Chakroborti | University of Saskatchewan |
| P9 | Reinforcement Learning Assisted Evolutionary Search for Autonomous Systems Testing | Dmytro Humeniuk | Polytechnique Montréal |
| P10 | Empirical Study on Cloned code and Non-Cloned Code of Self-Admitted Technical Debt | Fangjian Lei | Queen’s University |
| P11 | An Empirical Study on the Usage of Automated Machine Learning Tools | Forough Majidi | Polytechnique Montréal |
| P12 | Fooling SHAP with Stealthily Biased Sampling. | Gabriel Laberge | Polytechnique Montréal |
| P13 | Not All Dependencies are Equal: An Empirical Study on Production Dependencies in NPM | Jasmine Latendresse | Concordia University |
| P14 | Securing Large Language Model-based Code Generation | Junjie Li | Concordia University |
| P15 | Recommending Tools and Sub-workflows to Construct Scientific Workflows in Scientific Workflow Management Systems. | Khairul Alam | University of Saskatchewan |
| P16 | On the Effectiveness of Using GitHub Copilot to Augment Software Chatbot Datasets | Khaled Badran | Concordia University |
| P17 | The General Aspects of Computer Assessment in Human Beauty | Kiana Nezami | Concordia University |
| P18 | An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks | Lizhi Liao | Concordia University |
| P19 | Refining and Evaluating a Data-Driven Model Uncertainty Framework with a Traffic Sign Recognition (TSR) Case | Lucia Berger | McGill University |
| P20 | Exploring Classification of Software Bug Reports Towards Mobile Applications. | Md Shamimur Rahman | University of Saskatchewan |
| P21 | Cross-Platform Binary Analysis Using Representation Learning via Graph Alignment | Mohamed Salah Bouafif | Polytechnique Montréal |
| P22 | Detection and Evaluation of Bias Inducing Features in Machine learning | Moses Openja | Polytechnique Montréal |
| P23 | Learning to Localize Bugs using Reinforcement Learning | Partha Chakraborty | University of Waterloo |
| P24 | Studying the Characteristics of AIOps Projects on GitHub | Roozbeh Aghili | Polytechnique Montréal |
| P25 | Understanding Machine Learning Libraries Usage in JavaScript Projects | Samuel Abedu | Concordia University |
| P26 | Understanding the Helpfulness of Stale Bot for Pull-based Development | SayedHassan Khatoonabadi | Concordia University |
| P27 | Towards Reliable Autonomous Driving Systems (ADS) | Triet Pham | Concordia University |
| P28 | Improving the Usability of Scientific Workflow Composition by using Machine Learning Techniques | University of Saskatchewan | University of Saskatchewan |
| P29 | On the Effectiveness of Log Representation for Automated Log Analysis | Xingfang Wu | Polytechnique Montréal |
| P30 | FL-MAB: Client Selection and Monetization for Blockchain-Based Federated Learning | Zahra Batool | École de technologie supérieure |
| P31 | How Do Practitioners Perceive Energy Consumption? An Empirical Study of Stack Overflow | Bihui Jin | Queen’s University |
