2024 Accepted Posters

1A Method to Estimate the Execution Times of Quantum Circuits on Quantum ComputersNing MaPolytechnique Montréal
2Adaptive Content Classification through Agentic Retrieval-Augmented GenerationMohd FaizanDalhousie University
3An Empirical Study on Code Refactoring Capability using Large Language ModelsJonathan CordeiroQueen’s University
4An empirical study on code review activity prediction in practiceDoriane OlewickiQueen’s University
5An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and IssuesHuizi HaoQueen’s University
6An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and ClassificationMohammad Sadegh SheikhaeiQueen’s University
7An Exploratory Study on the Operations and Smells of Foundation Model LeaderboardsZhimin ZhaoQueen’s University
8Analyzing AI-Generated vs. Human-Written Code: A SonarQube Metrics AssessmentAnuj SainiMcGill University
9Benchmarking the Communication Skills of Code Generation for LLMs and LLM AgentJie JW WuUniversity of British Columbia
10BuildJudge: A Context-Aware Large Language Model Based Predictor for Build Outcomes in CIAnirban DeyQueen’s University
11CatFish « AI Imaging and Analysis for Marine Biology »Noof Al ShehhiDalhousie University
12Choosing the Right Bias Mitigation Strategy: Insights from a Comprehensive BenchmarkZakaria LaibConcordia University
13Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial AttacksZerui WangConcordia University
14Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory StudyMd NadimUniversity of Saskatchewan
15Which Code is More Robust Against Adversarial Attack: LLM-generated or Human-written?Md Abdul AwalUniversity of Saskatchewan
16Cost-effective Search-based Prompt Engineering of LLMs for Code GenerationHamed TaherkhaniYork University
17Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based ApproachShayan NoeiQueen’s University
18Development of a Multi-Scale Model for Enhanced Performance by Using an Adaptive Soft-Margin SoftMax Loss and its Application for Facial Expression RecognitionArmin NabaeiConcordia University
19Do Attached Images to Bug Reports Contain Meaningful Information? An Empirical StudyShamima YeasminUniversity of Saskatchewan
20Enhancing Healthcare Software Engineering with MicroservicesHamid Mcheick UQAC
21Enhancing Patent Data Semantic Search with a Lightweight Distributed FAISS ApproachAnuj SainiMcGill University
22Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving SystemsMohammad Hossein AminiUniversity of Ottawa
23Exploring PLMs’ Compatibility with R: Vulnerability Analysis and Insights for Code IntelligenceZixiao ZhaoUniversity of British Columbia
24Exploring the Boundaries of Large Language Models in RefactoringIren Mazloomzadeh Polytechnique Montréal
25Investigating the Energy Efficiency of Popular Quantization Techniques for AI ModelsSaurabhsingh RajputDalhousie University
26Investigating the Release Practices of Large Language Models: An Empirical StudyAdekunle AjibodeQueen’s University
27Leveraging Large Language Models for Root Cause Analysis in Cloud MicroservicesGayathiri ElamboornanConcordia University
28Optimal Application-Level Instrumentation for Performance ModelingKaveh ShahediPolytechnique Montréal
29PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4Seif AbukhalafPolytechnique Montréal
30Performance Smells in Code: A Comparative Investigation of Machine Learning and Non-Machine Learning ImplementationsFrancois BeliasPolytechnique Montréal
31Revealing Developers’ Scanning Strategies in Code Review: An Eye-Tracking Study with Unsupervised LearningSara YabesiPolytechnique Montréal
32Revisiting the Naturalness of Attention in Code Language ModelsMootez SaadDalhousie University
33Similarities and Differences between SE, ML, and QML Processes: A Systematic Literature ReviewSamiya Afzal MinhasNational University of Computer and Emerging Sciences, Pakistan
34Simulation-Based Testing Framework for Autonomous Robotic ManipulatorsDmytro HumeniukPolytechnique Montréal
35The Impact of Draft Pull Requests on Accelerating FeedbackFiras Harbaoui and Mohammed SayaghÉcole de technologie supérieure
36Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical StudyMehil B ShahDalhousie University
37Towards Refining Developer Queries using LLM-Based Named Entity RecognitionPouya FathollahzadehQueen’s University
38Towards Understanding the Challenges of Bug Localization in Deep Learning SystemsSigma JahanDalhousie University
39Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on CodeVahid MajdinasabPolytechnique Montréal
40Triage-Bot: An AI-powered Assistive Triage SoftwareElyas RashnoQueen’s University
41UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in EthereumAmir Mohammad EbrahimiQueen’s University
42Visual Analysis of Oceanic Multivariate Species (Sharks) Time-Series DataVegu Shree Rama Kamal KumarDalhousie University
43What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based ApproachXingfang WuPolytechnique Montréal
44Wrangling Data Issues to be Wrangled: Literature Review, Taxonomy, and Industry Case StudyQiaolin QinPolytechnique Montréal