Program - AIware 2026

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Sun 5 Jul
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	17:00 - 20:00	AIware ReceptionBenchmark & Dataset Track / Keynotes / ArXiv Track / Main Track at Concordia - MB-9 EFG Join us for the AIware 2026 Welcome Reception to kick off the conference! Food and drinks will be provided. Location: Concordia MB-9 EFG Conference Centre

Mon 6 Jul
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	08:30 - 08:50	OpeningMain Track at MB 1.210 Chair(s): Tse-Hsun (Peter) Chen Concordia University, Chao Peng Tencent, Baishakhi Ray Columbia University

08:50 - 10:30	Coding Agents, Software Testing, and Code UnderstandingArXiv Track / Main Track at MB 1.210 Chair(s): Song Wang York University

08:50 5m Talk		Collaborator or Assistant? How AI Coding Agents Partition Work across Pull Request Lifecycles Main Track Young Jo Chung , Safwat Hassan University of Toronto DOI
08:55 5m Talk		When Code Authors Are Agents: A Large-Scale Study of Human–Agent Collaboration in Pull Requests Main Track Anthonia Oluchukwu Njoku École Polytechnique de Montréal, Université de Montréal, CA, Zohreh Sharafi Polytechnique Montréal, Foutse Khomh Polytechnique Montréal DOI
09:00 5m Talk		Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development Main Track Srijita Basu Chalmers University of Technology and University of Gothenburg, Viktor Kjellberg Göteborg University, SE, Simin Sun , Bengt Haraldsson Chalmers University of Technology and University of Gothenburg, Scania CV AB, Md Abu Ahammed Babu Volvo Cars AB, Wilhelm Meding Ericsson, Farnaz Fotrousi Chalmers University of Technology and University of Gothenburg, Miroslaw Staron Chalmers University of Technology and University of Gothenburg DOI File Attached
09:05 5m Talk		Wink: Recovering from Misbehaviors in Coding Agents Main Track Rahul Nanda Facebook, US, Chandra Maddila Meta Platforms, Inc., Smriti Jha Facebook, US, Euna Mehnaz Khan , Satish Chandra Meta Platforms, Inc., Matteo Paltenghi University of Stuttgart DOI
09:10 5m Talk		Configuring Agentic AI Coding Tools: An Exploratory Study Main Track Matthias Galster University of Canterbury, Seyedmoein Mohsenimofidi Heidelberg University, Jai Lal Lulla Singapore Management University, Muhammad Auwal Abubakar Otto-Friedrich Universität Bamberg, DE, Christoph Treude Singapore Management University, Sebastian Baltes Heidelberg University DOI Pre-print
09:15 5m Talk		Deterministic vs. LLM-Controlled Orchestration for COBOL-to-Python ModernizationAIware Honorable Mention Paper Award Main Track Naing Oo Lwin Bucknell University, US, Rajesh Kumar Bucknell University, US DOI
09:20 5m Talk		Developer Experience with AI Coding Agents: HTTP Behavioral Signatures in Documentation Portals ArXiv Track Oleksii Borysenko Cisco DevNet
09:25 5m Talk		VISOR: A Vision-Language Model-Based Test Oracle for Testing Robots Main Track Prasun Saurabh Simula Research Laboratory, NO, Pablo Valle Mondragon University, Aitor Arrieta Mondragon University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Paolo Arcaini National Institute of Informatics DOI
09:30 5m Talk		Fixpad++: Automated Bug Fix Verification using LLM AgentsAIware Honorable Mention Paper Award Main Track Mustafa Özkan İr Bilkent University, Bilkent University, TR, Mehmet Dedeler Bilkent University, Anil Koyuncu Bilkent University, Eray Tüzün Bilkent University DOI
09:35 5m Talk		Co-located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation Main Track Éric Jacopin Cosmic AI, FR DOI
09:40 5m Talk		Using Mutation-Analysis to Examine an LLM’s Ability to Summarize Code Main Track Lara Khatib University of Waterloo, Michael Pu University of Waterloo, Bogdan Vasilescu Carnegie Mellon University, Mei Nagappan University of Waterloo DOI
09:45 5m Talk		Testing AIware Systems: A Software Engineering SurveyAIware Honorable Mention Paper Award Main Track Karla Gonzalez Royal Military College of Canada, Mariam El Mezouar Royal Military College DOI
09:50 5m Talk		TestMap: Evidence Infrastructure for Foundation-Model-Assisted Test Generation ArXiv Track Hunter Leary Virginia Tech, Luke Hanuska Virginia Tech, Chris Brown Virginia Tech
09:55 5m Talk		Metamorphic Testing for Clinical ML Models: A Framework Proposal and Pilot Study ArXiv Track Jie JW Wu Michigan Technological University, USA, Feiyu E Michigan Technological University, USA, Bo Chen Michigan Technological University, USA
10:00 5m Talk		An Empirical Study of Reasoning Steps in Thinking Code LLMsAIware Honorable Mention Paper Award Main Track Haoran Xue York University, CA, Gias Uddin York University, Canada, Song Wang York University DOI
10:05 5m Talk		Can LLMs Really Reason about Code? Studying How Well LLMs Understand the Relation between Input, Code, and Output Main Track Norman Becker CISPA Helmholtz Center for Information Security, DE, Tural Mammadov CISPA Helmholtz Center for Information Security, Andreas Zeller CISPA Helmholtz Center for Information Security Link to publication DOI File Attached
10:10 5m Talk		How Robustly Do LLMs Understand Execution Semantics? Main Track Claudio Spiess University of California, Davis, Premkumar Devanbu UC Davis, Earl T. Barr University College London DOI
10:15 5m Talk		Program-as-Weights: A Programming Paradigm for Fuzzy Functions ArXiv Track Wentao Zhang University of Waterloo, Liliana Hotsko University of Waterloo, Woojeong Kim Cornell University, Pengyu Nie University of Waterloo, Stuart Shieber Harvard University, Yuntian Deng University of Waterloo Pre-print
10:20 10m Live Q&A		Joint Q&A Main Track

11:00 - 12:30	AIware Keynotes Session 1Keynotes / Main Track at MB 1.210 Chair(s): Chao Peng Tencent

11:00 20m Keynote		From Chatbots to Colleagues: Steering Code-Driven Agents for End-to-End Autonomy Keynotes K: Qidi Xu MiniMax
11:20 20m Keynote		When Implementation Stops Being the Bottleneck: Design in AI-Native Software Engineering Keynotes K: Thomas Cottenier Arm
11:40 20m Keynote		From Features to Data and Domain Knowledge: Reflections on Two Decades of AI for Software Keynotes K: Lin Tan Purdue University
12:00 30m Live Q&A		Joint Q&A Keynotes

14:00 - 15:30	Trustworthy Code Generation, Reliability, and Engineering of AIware SystemsMain Track at MB 1.210 Chair(s): Zhijie Wang Concordia University

14:00 5m Talk		VeriTrans: Fine-Tuned LLM-Assisted NL→PL Translation via a Deterministic Neuro-symbolic Pipeline Main Track Xuan Liu , Dheeraj Kodakandla Pennsylvania State University, US, Kushagra Srivastva Pennsylvania State University, US, Mahfuza Farooque Pennsylvania State University, US DOI
14:05 5m Talk		Kubernetes Misconfigurations in the Wild: Taxonomy, Evolution, and Automated Repair with Large Language Models Main Track GHORAB Mostafa Anouar Université Laval, CA, Ahmad Abdellatif University of Calgary, Mohamed Aymen saied Laval University DOI
14:10 5m Talk		Quality and Security Signals in AI-Generated Python Refactoring Pull RequestsAIware Honorable Mention Paper Award Main Track Mohamed Almukhtar University of Michigan-Flint, Anwar Ghammam University of Michigan - Dearborn, Hua Ming DOI Pre-print
14:15 5m Talk		From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelines Main Track Marcus Barnes University of Toronto, Taher A. Ghaleb Trent University, Safwat Hassan University of Toronto DOI Pre-print
14:20 5m Talk		Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation Main Track Fazle Rabbi Concordia University, Soumit Kanti Saha Concordia University, CA, Jinqiu Yang Concordia University DOI
14:25 5m Talk		Executable but Unlearnable: Designing Code That Resists LLM-Based Learning Main Track Viraaji Mothukuri Kennesaw State University, Reza M. Parizi Kennesaw State University DOI
14:30 5m Talk		Detecting Unsoundness in Neural Network Verifiers via Concrete–Abstract Consistency Main Track Kaijie Liu University of New South Wales, Sydney, Yulei Sui University of New South Wales DOI Pre-print
14:35 5m Talk		From Correctness to Consistency: Redefining Reliability for the Agentware Era Main Track Xue Qin Villanova University, Mauricio Gouvea Gruppi DOI
14:40 5m Talk		A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models Main Track Yalin Liu Facebook, US, Kosay Jabre Meta Platforms, Inc., Rui Abreu Meta, Zachariah J Carmichael Facebook, US, Vijayaraghavan Murali Rice University, Akshay Patel Meta Platforms, Inc., Jun Ge Meta Platforms, Inc., Weiyan Sun Meta Platforms, Inc., Cong Zhang Southern Methodist University, Southern Methodist University, US, Audris Mockus The University of Tennessee, Knoxville / Vilnius University, David Khavari , Peter Rigby Concordia University; Meta, Nachiappan Nagappan Meta Platforms, Inc. DOI
14:45 5m Talk		When AI Coding Assistants Leak Training Data: A Study of LLM Memorization in Code GenerationAIware Honorable Mention Paper Award Main Track Xiaoyu Cheng , Kundi Yao Ontario Tech University, Pengyu Nie University of Waterloo, Weiyi Shang University of Waterloo DOI
14:50 5m Talk		Zombie Agents: Detecting Semantic Livelock in Long-Horizon Autonomous Software Main Track Simarjot Khanna DOI
14:55 5m Talk		Neural-Symbolic Multi-objective Optimization for Performance-Aware ORM Database Design Main Track Sasan Azizian Bellevue University, Ayoub Hazrati The Vanguard Group, Artin Azizian McGill University, School of Computer Science, Elham Rastegari Creighton University, Hamid Bagheri University of Nebraska-Lincoln, Juan Cui University of Nebraska, Lincoln, US DOI
15:00 5m Talk		TriORM: Workload-Aware Neural-Symbolic Multi-objective Optimization for ORM Mapping Design Main Track Sasan Azizian Bellevue University, Ayoub Hazrati The Vanguard Group, Artin Azizian McGill University, School of Computer Science, Elham Rastegari Creighton University DOI
15:05 5m Talk		Artifact Readiness Gates with Saturation Stop Rules and Host-Parity Admissibility for FM Release Evaluation Main Track Yanick Kanyiki InvarLock Inc., CA DOI
15:10 5m Talk		Towards Migrating Neural Network ImplementationsAIware Honorable Mention Paper Award Main Track Nadia Daoudi Luxembourg Institute of Science and Technology, Iván Alfonso Luxembourg Institute of Science and Technology, Jordi Cabot Luxembourg Institute of Science and Technology DOI
15:15 5m Talk		From Code Review to Spec-Driven Contracts: A Vision for Auditable AIWare Systems Main Track Mohammad Hamdaqa Polytechnique Montreal, Moataz Chouchen Concordia University DOI
15:20 10m Live Q&A		Joint Q&A Main Track

	16:00 - 17:00	Poster Session AMain Track at MB 1.210

	17:00 - 17:45	Brainstorming Panel 1: Model Capability and the Future of Agent HarnessesMain Track at MB 1.210 Chair(s): Hao Li Queen's University We are honored to host the following experts for an in-depth discussion and exchange of ideas: Dickson Tsai, (Claude Code) Pascal Kesseli, (Microsoft) Tse-Hsun (Peter) Chen, (Concordia University) Chao Peng, (Tencent)

	18:30 - 22:00	AIware BanquetBenchmark & Dataset Track / Keynotes / ArXiv Track / Main Track at FUNHUB Montreal Welcome to the AIware 2026 Banquet! Join us for a memorable evening of networking, great food, and entertainment to celebrate the conference. FUNHUB Montreal is approximately a 15-minute walk from the conference venue. Address: FUNHUB Montreal, 733 Rue Cathcart #2, Montréal, QC H3B 1M6 Banquet Event Schedule (Monday, July 6, 2026): 6:30 PM – Departure from the conference venue 7:00 PM – Banquet begins and meal service starts

Tue 7 Jul
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09:40 - 10:30	AIware / FSE Joint KeynoteKeynotes / Main Track at H110

09:40 50m Keynote		Harness Design for Increasingly Capable Models: How Newer Claude Code Features Shape Agent Trajectories Keynotes K: Dickson Tsai Anthropic

11:00 - 12:00	AIware Keynotes Session 2Keynotes / Main Track at MB 1.210 Chair(s): Baishakhi Ray Columbia University

11:00 20m Keynote		Formal Methods for Reliable AI Reasoning Keynotes K: Pascal Kesseli Microsoft
11:20 20m Keynote		Spec-Driven Development for Autonomous Coding Agents Across the SDLC Keynotes K: Rajdeep Mukherjee Amazon, USA
11:40 20m Live Q&A		Joint Q&A Keynotes

12:00 - 12:30	Benchmarks, Datasets, and Evaluation of AIware Benchmark & Dataset Track / ArXiv Track / Main Track at MB 1.210 Chair(s): Mohammad Hamdaqa Polytechnique Montreal

12:00 5m Talk		ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation Benchmark & Dataset Track Yeheng Chen Shanghai Jiao Tong University, Chaoxiang Xie Hohai University, Yuling Shi Shanghai Jiao Tong University, Wenhao Zeng Shanghai Jiao Tong University, Yongpan Wang Shanghai Jiaotong University, CN, Hongyu Zhang Chongqing University, Xiaodong Gu Shanghai Jiao Tong University DOI
12:05 5m Talk		SWE-Bench+: Enhanced LLM Coding Benchmark Benchmark & Dataset Track Haoran Xue York University, CA, Reem Aleithan York University, Canada, Nafid Enan York University, CA, Gias Uddin York University, Canada, Song Wang York University DOI
12:10 5m Talk		Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges Benchmark & Dataset Track Ali Al-Kaswan Delft University of Technology, Netherlands, Maksim Plotnikov Delft University of Technology, NL, Maxim Hájek Delft University of Technology, NL, Roland Vízner Delft University of Technology, NL, Arie van Deursen TU Delft, Mali Izadi Google & TU Delft DOI
12:15 5m Talk		A Dataset of Agentic AI Coding Tool Configurations Benchmark & Dataset Track Matthias Galster University of Canterbury, Seyedmoein Mohsenimofidi Heidelberg University, Levi Böhme Universität Bayreuth, DE, Jai Lal Lulla Singapore Management University, Muhammad Auwal Abubakar Otto-Friedrich Universität Bamberg, DE, Christoph Treude Singapore Management University, Sebastian Baltes Heidelberg University DOI
12:20 5m Talk		AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub Benchmark & Dataset Track Daniel Ogenrwot University of Nevada Las Vegas, John Businge University of Nevada, Las Vegas DOI Pre-print
12:25 5m Talk		TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution ArXiv Track Jiale Amber Wang University of Waterloo, Kaiyuan Wang Google, Inc., Pengyu Nie University of Waterloo Pre-print

14:00 - 15:30	Human Factors, Responsible AIware, and Benchmarks & DatasetsBenchmark & Dataset Track / Main Track at MB 1.210 Chair(s): Diego Elias Costa Concordia University, Canada

14:00 5m Talk		Is Artificial Intelligence an Elixir to the Software Engineering Community? An Empirical Study among Managers Main Track Xin Zhao Seattle University, Brian Vu Seattle University, US, Sitesh Pattanaik Donald Bren School of Information and Computer Sciences, University of California, Irvine, US DOI
14:05 5m Talk		Towards AI as a Collaborative Partner: A Taxonomy of AI Agent Behavior in Software Engineering Main Track Tao Dong Google, Sherry Shi Google, Harini Sampath , Andrew Macvean Google, Inc. DOI Pre-print
14:10 5m Talk		Auditing Who Appears to Belong: A Large-Scale Empirical Study of Bias in Deployed Text-to-Image Systems for Software Engineering Main Track Mohamad Kassab Boston University DOI
14:15 5m Talk		Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files Main Track Christoph Treude Singapore Management University, Sebastian Baltes Heidelberg University, Marc Cheong the University of Melbourne DOI Pre-print
14:20 5m Talk		Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap Main Track Christoph Treude Singapore Management University DOI Pre-print
14:25 5m Talk		SOSecure: The Wisdom of the Crowd for Safer AI-Generated Code Main Track Manisha Mukherjee Carnegie Mellon University, Vincent J. Hellendoorn Google DeepMind DOI
14:30 5m Talk		SecVulEval: Context-Aware Benchmarking of LLMs for Vulnerability DetectionAIware Best Benchmark/Dataset Paper Award Benchmark & Dataset Track Md Basim Uddin Ahmed York University, CA, Nima Shiri Harzevili York University, Jiho Shin York University, Hung Viet Pham York University, Song Wang York University DOI
14:35 5m Talk		SecMutBench: Evaluating LLM-Generated Security Tests via Mutation-Based Vulnerability Detection Benchmark & Dataset Track Mariam ALMutairi Virginia Polytechnic Institute and State University, US DOI
14:40 5m Talk		CrossCommitVuln-Bench: A Dataset of Multi-commit Python Vulnerabilities Invisible to Per-Commit Static Analysis Benchmark & Dataset Track Arunabh Majumdar Independent Researcher, IN DOI
14:45 5m Talk		REBench: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names Benchmark & Dataset Track Jun Yeon Won Ohio State University, Columbus, US, Xin Jin Meta, Shiqing Ma University of Massachusetts at Amherst, Zhiqiang Lin The Ohio State University DOI
14:50 5m Talk		RustBuildEq: A Benchmark for Binary Equivalence under Build Variability Benchmark & Dataset Track Elliott Wen The University of Auckland, Chenye Ni , Valerio Terragni University of Auckland, Jens Dietrich Victoria University of Wellington DOI
14:55 5m Talk		TOGBench: A Developer-Written Multi-variant Dataset and Benchmark Suite for Test Oracle Generation Benchmark & Dataset Track Tasfia Tasnim University of Texas at Dallas, US, Matthew B Dwyer University of Virginia, Soneya Binta Hossain University of Texas at Dallas DOI
15:00 5m Talk		HEJ-Robust: A Robustness Benchmark for LLM-Based Automated Program Repair Benchmark & Dataset Track Fazle Rabbi Concordia University, Jinqiu Yang Concordia University DOI
15:05 5m Paper		JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks Benchmark & Dataset Track Yiran Wang Linköping University, José Antonio Hernández López Department of Computer Science and Systems, University of Murcia, Ulf Nilsson Linköping University, Daniel Varro Linköping University / McGill University DOI Pre-print
15:10 5m Talk		AgentTelemetry: A Fault Detection Benchmark and Toolkit for LLM Agent Observability Benchmark & Dataset Track Krishna Chaitanya Balusu Independent DOI
15:15 15m Live Q&A		Joint Q&A Benchmark & Dataset Track

	16:00 - 16:45	Poster Session BMain Track at MB 1.210

	16:45 - 17:45	Brainstorming Panel 2: Software Engineering Beyond Code GenerationMain Track at MB 1.210 Chair(s): Weiyi Shang University of Waterloo We are honored to host the following experts for an in-depth discussion and exchange of ideas: Lin Tan (Purdue University and Amazon) Thomas Cottenier (Arm) Rajdeep Mukherjee (Amazon) Baishakhi Ray (Columbia University) Yintong Huo (Singapore Management University)

	17:45 - 18:00	Awards & ClosingMain Track at MB 1.210 Chair(s): Tse-Hsun (Peter) Chen Concordia University, Chao Peng Tencent, Baishakhi Ray Columbia University

AIware 2026 Program

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