2023 Posters

Please contact Prof. Mohammed Hamdaqa (mhamdaqa@polymtl.ca) or Prof. Zorhreh Sharafi (zohreh.sharafi@polymtl.ca) for any questions.

  Title Presenter Affiliation
P1 Binary Code Similarity Detection for Obfuscated Java Android Applications Misheelt Munkhjargal Concordia University
P2 Experimental Platform for trustworthy Human-Machine Teaming Laila EL Moujtahid AI Redefined
P3 Assessment of library documentation quality: A metric-based approach Afiya Fahmida Sarah University of Alberta
P4 Prompt-based Learning For Log Level Suggestion Yi Wen Heng Concordia University
P5 Deployment Strategies for Edge AI Jaskirat Singh Queens University
P6 SLocator: Localizing the Origin of SQL Queries in Database-Backed Web Applications Wei Liu Concordia University
P7 On lightweight dynamic batching techniques for avoiding redundant CI practices Divya Madhav Kamath Queen’s University
P8 Post-Deployment Model Recycling Harsh Patel Queen’s University
P9 A Deep Dive into bug reports with Stack Traces in Production-like scenarios Lorena Barreto Simedo Pacheco Concordia University
P10 Streamlining Build System Maintenance: A Recommendation System for Build System Configuration Shenyu Zheng Queen’s University
P11 Employing Code Change Information for Enhanced Fault Localization  Md Nakhla Rafi Concordia University
P12 Planning task executions in distributed machine learning systems Yu Shi Queen’s University
P13 Artificial Intelligence for HealthCare in Africa: Emerging Challenges Gael Kamdem De Teyou Bright-Medicals
P14 Artificial Intelligence for HealthCare in Africa: Emerging Challenges Paulina Stevia Nouwou Mindom Polytechnique Montréal
P15 A Multiplex Network Framework Based Recommendation Systems for Technology Intelligence Foutse Yuehgoh Conservatoir National des Arts et Métier (CNAM)/ Devinci Research Center (DVRC)
P16 Understanding Contributors Profiles of Popular ML Libraries Jiawen Liu Queen’s University
P17 Co-changed method identification with Learning to Rank Yiping Jia Queen’s University
P18 Protecting IoT-based applications using security patterns and Machine Learning-based self-adaptation Saeid Jamshidi Polytechnique Montréal
P19 Detection and Evaluation of Bias Inducing Features in Machine learning Moses Openja Polytechnique Montréal
P20 Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction Doriane Olewicki Queen’s University
P21 Vulnet: Towards Improving Vulnerability Management in the Maven Ecosystem Zeyang Ma Concordia University
P22 JIT Bug Prediction using Graph-Anonymised Git Graphs Akshat Malik Queen’s University
P23 Towards Responsible Design Patterns for Machine Learning Pipelines Saud Alharbi Polytechnique Montréal
P24 Mutation Testing of Deep Reinforcement Learning Based on Real Faults Vahid Majdinasab Polytechnique Montréal
P25 An Empirical Study on the Characteristics of Code Clone Quality Chunli Yu Queen’s University
P26 MLRefactoScanner – Detecting Refactoring-Related Commits in Python-Based Machine Learning Projects: A Machine Learning Assisted Prototype Shayan Noei Queen’s University
P27 An Exploratory Study in Detecting CVE Bugs using Clone Detectors Yinghang Ma York University
P28 Artificial Intelligence (AI) For Empowering Women Against Violence Laila Mahmoud Daw Abodinar Polytechnique Montréal
P29 Techniques for Creating a dataset of Automated Generated Code Pouya Fathollahzadeh Queen’s University
P30 Bug Characterization in Machine Learning-based Systems Mohammadmehdi Morovati Polytechnique Montréal
P31 Tracing Optimization for Performance Modelling and Regression Detection Kaveh Shahedi Polytechnique Montréal
P32 Improving the Effectiveness of Tests Generated by LLMs Using Mutation Testing Arghavan Moradi Dakhel Polytechnique Montréal
P33 What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow Amin Ghadesi Polytechnique Montréal
P34 Measuring the perception of trust in software engineering tasks Sara Yabesi Polytechnique Montréal
P35 The Trends and Challenges of Deep Learning Model Reuse: A Case Study of the HuggingFace Community Mina Taraghi Polytechnique Montréal
P36 Enhancing Travel Recommendation Systems By Leveraging Personalized Data Baharan Nouriinanloo Polytechnique Montréal
P37 Logging Requirement for Auditing Responsible Machine Learning Based Applications Patrick loic Foalem Polytechnique Montréal
P38 Artificial Recovering Traceability Links between Release Notes and Related Software Artifacts Sristy Sumana Nath University of Saskatchewan
P39 Do External Resources Matter in IR-based Bug Localization? – An Empirical Study Shamima Yeasmin University of Saskatchewan
P40 A study of Cross-Language Similar Software Applications development and Maintenance Kawser Wazed Nafi University of Saskatchewan
P41 An Empirical Study on the Usage of Automated Machine Learning Tools Forough Majidi Polytechnique Montréal