AIware 2026 Contributors

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A Gustavo A. OlivaA. Oliva, Gustavo Huawei Canada and Queen's UniversityCanada Committee Member in Program Committee within the AIware Main Track-track
Ahmad AbdellatifAbdellatif, Ahmad University of CalgaryCanada Kubernetes Misconfigurations in the Wild: Taxonomy, Evolution, and Automated Repair with Large Language Models
Rui AbreuAbreu, Rui MetaUnited States A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Muhammad Auwal AbubakarAbubakar, Muhammad Auwal Otto-Friedrich Universität Bamberg, DE A Dataset of Agentic AI Coding Tool Configurations Configuring Agentic AI Coding Tools: An Exploratory Study
Md Basim Uddin AhmedAhmed, Md Basim Uddin York University, CA SecVulEval: Context-Aware Benchmarking of LLMs for Vulnerability Detection
Ali Al-KaswanAl-Kaswan, Ali Delft University of Technology, NetherlandsNetherlands Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges
Reem AleithanAleithan, Reem York University, CanadaSaudi Arabia SWE-Bench+: Enhanced LLM Coding Benchmark
Iván AlfonsoAlfonso, Iván Luxembourg Institute of Science and TechnologyLuxembourg Towards Migrating Neural Network Implementations
Shaukat AliAli, Shaukat Simula Research Laboratory and Oslo Metropolitan UniversityNorway VISOR: A Vision-Language Model-based Test Oracle for Testing Robots
Mohamed AlmukhtarAlmukhtar, Mohamed University of Michigan-Flint Quality and Security Signals in AI-Generated Python Refactoring Pull Requests
Mariam ALMutairiALMutairi, Mariam Virginia Polytechnic Institute and State University, US SecMutBench: Evaluating LLM-Generated Security Tests via Mutation-Based Vulnerability Detection
Paolo ArcainiArcaini, Paolo National Institute of InformaticsJapan VISOR: A Vision-Language Model-based Test Oracle for Testing Robots
Aitor ArrietaArrieta, Aitor Mondragon UniversitySpain VISOR: A Vision-Language Model-based Test Oracle for Testing Robots
Artin AzizianAzizian, Artin McGill University, School of Computer Science TriORM: Workload-Aware Neural--Symbolic Multi-Objective Optimization for ORM Mapping Design Neural-Symbolic Multi-Objective Optimization for Performance-Aware ORM Database Design
Sasan AzizianAzizian, Sasan Bellevue UniversityUnited States TriORM: Workload-Aware Neural--Symbolic Multi-Objective Optimization for ORM Mapping Design Neural-Symbolic Multi-Objective Optimization for Performance-Aware ORM Database Design
B Md Abu Ahammed BabuBabu, Md Abu Ahammed Volvo Cars ABSweden Understanding Conversational Patterns in Multi-Agent Programming: A Case Study On Fibonacci Game Development
Hamid BagheriBagheri, Hamid University of Nebraska-LincolnUnited States Neural-Symbolic Multi-Objective Optimization for Performance-Aware ORM Database Design
Sebastian BaltesBaltes, Sebastian Heidelberg UniversityGermany A Dataset of Agentic AI Coding Tool Configurations Configuring Agentic AI Coding Tools: An Exploratory Study Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
Krishna Chaitanya BalusuBalusu, Krishna Chaitanya Independent AgentTelemetry: A Fault Detection Benchmark and Toolkit for LLM Agent Observability
Abdul Ali BangashBangash, Abdul Ali Lahore University of Management SciencesPakistan Committee Member in Program Committee within the AIware Main Track-track
Marcus BarnesBarnes, Marcus University of TorontoCanada From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelines
Earl T. BarrBarr, Earl T. University College LondonUnited Kingdom How Robustly do LLMs Understand Execution Semantics?
Srijita BasuBasu, Srijita Chalmers University of Technology and University of GothenburgSweden Understanding Conversational Patterns in Multi-Agent Programming: A Case Study On Fibonacci Game Development
Norman BeckerBecker, Norman CISPA Helmholtz Center for Information Security, DE Can LLMs really reason about Code? Studying how well LLMs understand the relation between Input, Code, and Output
Mahi BegougBegoug, Mahi ETS Montreal Publicity Co-Chair in Organizing Committee for AIware 2026
Narjes BessghaierBessghaier, Narjes ETS Montreal, University of QuebecCanada Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Alexander BezzubovBezzubov, Alexander JetBrainsNetherlands Committee Member in Program Committee within the AIware Main Track-track
Soneya Binta HossainBinta Hossain, Soneya University of Texas at DallasUnited States TOGBench: A Developer-Written Multi-Variant Dataset and Benchmark Suite for Test Oracle Generation Committee Member in Program Committee within the AIware Main Track-track
Alvine Boaye BelleBoaye Belle, Alvine York UniversityCanada Committee Member in Program Committee within the AIware Main Track-track
John BusingeBusinge, John University of Nevada, Las Vegas United States AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
Levi BöhmeBöhme, Levi Universität Bayreuth, DE A Dataset of Agentic AI Coding Tool Configurations
C Jordi CabotCabot, Jordi Luxembourg Institute of Science and TechnologyLuxembourg Towards Migrating Neural Network Implementations
Zachariah J CarmichaelCarmichael, Zachariah J Facebook, US A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Satish ChandraChandra, Satish Meta Platforms, Inc.United States Recovering from Misbehaviors in Coding Agents
Simin ChenChen, Simin University of Texas at DallasUnited States Committee Member in Program Committee within the AIware Main Track-track
Tse-Hsun (Peter) ChenChen, Tse-Hsun (Peter) Concordia UniversityCanada General Chair in Organizing Committee for AIware 2026
Yeheng ChenChen, Yeheng Shanghai Jiao Tong University ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
Mingfei ChengCheng, Mingfei Singapore Management UniversitySingapore Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Sam ChengCheng, Sam Google Committee Member in Program Committee within the AIware Main Track-track
Xiaoyu ChengCheng, Xiaoyu When AI Coding Assistants Leak Training Data: Study Memorization in Code LLMs
Marc CheongCheong, Marc the University of MelbourneAustralia Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
Moataz ChouchenChouchen, Moataz Concordia UniversityTunisia From Code Review to Spec-Driven Contracts: A Vision for Auditable AIWare Systems
Juan CuiCui, Juan University of Nebraska, Lincoln, US Neural-Symbolic Multi-Objective Optimization for Performance-Aware ORM Database Design
D Nadia DaoudiDaoudi, Nadia Luxembourg Institute of Science and TechnologyLuxembourg Towards Migrating Neural Network Implementations
Fabio Marcos De Abreu SantosDe Abreu Santos, Fabio Marcos Colorado State University, USAUnited States Committee Member in Program Committee within the AIware Main Track-track
Ronnie de Souza Santosde Souza Santos, Ronnie University of CalgaryCanada Committee Member in Program Committee within the AIware Main Track-track
Mehmet DedelerDedeler, Mehmet Bilkent University, Bilkent University, TR Fixpad++: Automated Bug Fix Verification Using LLM Agents
Premkumar DevanbuDevanbu, Premkumar UC Davis How Robustly do LLMs Understand Execution Semantics?
Jens DietrichDietrich, Jens Victoria University of WellingtonNew Zealand RustBuildEq: A Benchmark for Binary Equivalence Under Build Variability
Malinda DilharaDilhara, Malinda Amazon Web Services, USAUnited States Committee Member in Program Committee within the AIware Main Track-track
Zishuo DingDing, Zishuo The Hong Kong University of Science and Technology (Guangzhou)China Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Tao DongDong, Tao GoogleUnited States Towards AI as a Collaborative Partner: A Taxonomy of AI Agent Behavior in Software Engineering
Matthew B DwyerDwyer, Matthew B University of Virginia TOGBench: A Developer-Written Multi-Variant Dataset and Benchmark Suite for Test Oracle Generation
E Aryaz EghbaliEghbali, Aryaz CISPA Helmholtz Center for Information Security, GermanyGermany Committee Member in Program Committee within the AIware Main Track-track
Nafid EnanEnan, Nafid York University, CA SWE-Bench+: Enhanced LLM Coding Benchmark
F Mahfuza FarooqueFarooque, Mahfuza Pennsylvania State University, USUnited States VeriTrans: Fine-Tuned LLM-Assisted NL→PL Translation via a Deterministic Neuro-Symbolic Pipeline
Eduardo FernandesFernandes, Eduardo Clever DevicesBrazil Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Farnaz FotrousiFotrousi, Farnaz Chalmers University of Technology and University of GothenburgSweden Understanding Conversational Patterns in Multi-Agent Programming: A Case Study On Fibonacci Game Development
G Matthias GalsterGalster, Matthias University of CanterburyNew Zealand A Dataset of Agentic AI Coding Tool Configurations Configuring Agentic AI Coding Tools: An Exploratory Study
Cuiyun GaoGao, Cuiyun Harbin Institute of Technology, ShenzhenChina ArXiv Track Co-chair in Organizing Committee for AIware 2026 ArXiv Track Co-chair in Program Committee within the AIware ArXiv Track-track
Jun GeGe, Jun Meta Platforms, Inc. A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Taher A. GhalebGhaleb, Taher A. Trent UniversityCanada From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelines
Anwar GhammamGhammam, Anwar University of Michigan - DearbornUnited States Quality and Security Signals in AI-Generated Python Refactoring Pull Requests Committee Member in Program Committee within the AIware Main Track-track
Gouri Ginde (Deshpande)Ginde (Deshpande), Gouri University of CalgaryCanada Committee Member in Program Committee within the AIware Main Track-track
Karla GonzalezGonzalez, Karla Royal Military College of CanadaCanada Testing AIware Systems: A Software Engineering Survey
Mauricio Gouvea GruppiGruppi, Mauricio Gouvea From Correctness to Consistency: Redefining Reliability for the Agentware Era
Xiaodong GuGu, Xiaodong Shanghai Jiao Tong UniversityChina ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
An GuoGuo, An The Hong Kong Polytechnic UniversituyHong Kong SAR China Committee Member in Program Committee within the AIware Main Track-track
Jin L.C. GuoGuo, Jin L.C. McGill UniversityCanada Competition Track Co-chair in Organizing Committee for AIware 2026 Co-chair in Program Committee within the AIware FSE-AIWare Joint Competition-track
Wenbo GuoGuo, Wenbo Nanyang Technological University Committee Member in Program Committee within the AIware Main Track-track
H Mohammad HamdaqaHamdaqa, Mohammad Polytechnique MontrealCanada From Code Review to Spec-Driven Contracts: A Vision for Auditable AIWare Systems Committee Member in Program Committee within the AIware Main Track-track
Huizi HaoHao, Huizi Queen's University, Canada Committee Member in Program Committee within the AIware Main Track-track
Bengt HaraldssonHaraldsson, Bengt Chalmers University of Technology and University of Gothenburg, Scania CV ABSweden Understanding Conversational Patterns in Multi-Agent Programming: A Case Study On Fibonacci Game Development
Nima Shiri HarzeviliHarzevili, Nima Shiri York UniversityCanada SecVulEval: Context-Aware Benchmarking of LLMs for Vulnerability Detection
Masudul Hasan Masud BhuiyanHasan Masud Bhuiyan, Masudul CISPA Helmholtz Center for Information Security, GermanyGermany Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Ahmed E. HassanHassan, Ahmed E. Queen’s UniversityCanada Steering Committee Co-Chair in Organizing Committee for AIware 2026 Steering Committee Co-Chair in Steering Committee for AIware 2026
Safwat HassanHassan, Safwat University of TorontoCanada Collaborator or Assistant? How AI Coding Agents Partition Work Across Pull Request Lifecycles From Assistance to Agency: Rethinking Autonomy and Control in CI/CD Pipelines
Ayoub HazratiHazrati, Ayoub The Vanguard Group TriORM: Workload-Aware Neural--Symbolic Multi-Objective Optimization for ORM Mapping Design Neural-Symbolic Multi-Objective Optimization for Performance-Aware ORM Database Design
Vincent J. HellendoornHellendoorn, Vincent J. Google DeepMindUnited States SOSecure: The Wisdom of the Crowd for Safer AI-Generated Code
José Antonio Hernández LópezHernández López, José Antonio Department of Computer Science and Systems, University of MurciaSpain JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks
Yintong HuoHuo, Yintong Singapore Management University, SingaporeSingapore Benchmark&Dataset Track Chair in Organizing Committee for AIware 2026 Benchmark&Dataset Track Chair in Program Committee within the AIware Benchmark & Dataset Track-track
Maxim HájekHájek, Maxim Delft University of Technology, NL Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges
I Mia Mohammad ImranImran, Mia Mohammad Missouri University of Science and TechnologyUnited States Committee Member in Program Committee within the AIware Main Track-track
Chandra InguvaInguva, Chandra Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Mali IzadiIzadi, Mali TU DelftNetherlands Competition Track Co-chair in Organizing Committee for AIware 2026 Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges Co-chair in Program Committee within the AIware FSE-AIWare Joint Competition-track
J Reyhaneh JabbarvandJabbarvand, Reyhaneh University of Illinois at Urbana-ChampaignUnited States ArXiv Track Co-chair in Organizing Committee for AIware 2026 ArXiv Track Co-chair in Program Committee within the AIware ArXiv Track-track
Kosay JabreJabre, Kosay Meta Platforms, Inc. A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Éric JacopinJacopin, Éric Cosmic AI, FR Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation
Ankit JainJain, Ankit Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Smriti JhaJha, Smriti Facebook, US Recovering from Misbehaviors in Coding Agents
Zhihan JiangJiang, Zhihan The Chinese University of Hong Kong Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track Committee Member in Program Committee within the AIware Main Track-track
Xin JinJin, Xin MetaUnited States REBench: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names
Young Jo ChungJo Chung, Young Collaborator or Assistant? How AI Coding Agents Partition Work Across Pull Request Lifecycles
K Yanick KanyikiKanyiki, Yanick InvarLock Inc., CA Artifact Readiness Gates with Saturation Stop Rules and Host-Parity Admissibility for FM Release Evaluation
Mohamad KassabKassab, Mohamad Boston University Auditing Who Appears to Belong: A Large-Scale Empirical Study of Bias in Deployed Text-to-Image Systems for Software Engineering
Mehdi KeshaniKeshani, Mehdi University of Zurich, Zurich, SwitzerlandSwitzerland Committee Member in Program Committee within the AIware Main Track-track
Euna Mehnaz KhanKhan, Euna Mehnaz Recovering from Misbehaviors in Coding Agents
Simarjot KhannaKhanna, Simarjot Zombie Agents: Detecting Semantic Livelock in Long-Horizon Autonomous Software
Lara KhatibKhatib, Lara University of WaterlooCanada Examining LLMs Ability to Summarize Code Through Mutation-Analysis
David KhavariKhavari, David A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Foutse KhomhKhomh, Foutse Polytechnique MontréalCanada When Code Authors Are Agents: A Large-Scale Study of Human–Agent Collaboration in Pull Requests
Dong Jae KimKim, Dong Jae DePaul UniversityUnited States Committee Member in Program Committee within the AIware Main Track-track
Myeongsoo KimKim, Myeongsoo Amazon Web ServicesUnited States Committee Member in Program Committee within the AIware Main Track-track
Viktor KjellbergKjellberg, Viktor Göteborg University, SE Understanding Conversational Patterns in Multi-Agent Programming: A Case Study On Fibonacci Game Development
Dheeraj KodakandlaKodakandla, Dheeraj Pennsylvania State University, US VeriTrans: Fine-Tuned LLM-Assisted NL→PL Translation via a Deterministic Neuro-Symbolic Pipeline
Anil KoyuncuKoyuncu, Anil Bilkent UniversityTurkey Fixpad++: Automated Bug Fix Verification Using LLM Agents
Rajesh KumarKumar, Rajesh Bucknell University, USUnited States Execution Control Matters: Deterministic and Agentic Tool Orchestration for LLM-Based Code Translation
L Hao LiLi, Hao Queen's UniversityCanada Committee Member in Program Committee within the AIware Main Track-track
Haonan LiLi, Haonan University of California at Riverside, USA Committee Member in Program Committee within the AIware Main Track-track
Yichen LILI, Yichen ByteDance Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Peng LiangLiang, Peng Wuhan University, ChinaChina Committee Member in Program Committee within the AIware Main Track-track
Zhiqiang LinLin, Zhiqiang The Ohio State University REBench: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names
Chengwei LiuLiu, Chengwei Nankai UniversityChina Committee Member in Program Committee within the AIware Main Track-track
Kaijie LiuLiu, Kaijie University of New South Wales, Sydney Detecting Unsoundness in Neural Network Verifiers via Concrete–Abstract Consistency
Wei LiuLiu, Wei Concordia University, Montreal, CanadaCanada Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track Committee Member in Program Committee within the AIware Main Track-track
Xuan LiuLiu, Xuan VeriTrans: Fine-Tuned LLM-Assisted NL→PL Translation via a Deterministic Neuro-Symbolic Pipeline
Yalin LiuLiu, Yalin Facebook, US A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Yonghui LiuLiu, Yonghui Australian National University Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Nikolaos LouloudakisLouloudakis, Nikolaos University of Edinburgh Committee Member in Program Committee within the AIware Main Track-track
Jai Lal LullaLulla, Jai Lal Singapore Management University A Dataset of Agentic AI Coding Tool Configurations Configuring Agentic AI Coding Tools: An Exploratory Study
Zhengxiong LuoLuo, Zhengxiong National University of SingaporeChina Committee Member in Program Committee within the AIware Main Track-track
Naing Oo LwinLwin, Naing Oo Bucknell University, USUnited States Execution Control Matters: Deterministic and Agentic Tool Orchestration for LLM-Based Code Translation
Michael LyuLyu, Michael The Chinese University of Hong Kong Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Yunbo LyuLyu, Yunbo Singapore Management University Committee Member in Program Committee within the AIware Main Track-track
M Reza M. PariziM. Parizi, Reza Kennesaw State UniversityUnited States Executable but Unlearnable: Designing Code that Resists LLM-Based Learning
Shiqing MaMa, Shiqing University of Massachusetts at AmherstUnited States REBench: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names
Yingwei MaMa, Yingwei Alibaba GroupChina Publicity Co-Chair in Organizing Committee for AIware 2026
Zeyang MaMa, Zeyang Concordia UniversityCanada Web Chair in Organizing Committee for AIware 2026
Andrew MacveanMacvean, Andrew Google, Inc. Towards AI as a Collaborative Partner: A Taxonomy of AI Agent Behavior in Software Engineering
Chandra MaddilaMaddila, Chandra Meta Platforms, Inc.United States Recovering from Misbehaviors in Coding Agents
Arunabh MajumdarMajumdar, Arunabh Independent Researcher, IN CrossCommitVuln-Bench: A Dataset of Multi-Commit Python Vulnerabilities Invisible to Per-Commit Static Analysis
Tural MammadovMammadov, Tural CISPA Helmholtz Center for Information SecurityGermany Can LLMs really reason about Code? Studying how well LLMs understand the relation between Input, Code, and Output
Sogol MasoumzadehMasoumzadeh, Sogol Mcgill UniversityCanada Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Wilhelm MedingMeding, Wilhelm Ericsson Understanding Conversational Patterns in Multi-Agent Programming: A Case Study On Fibonacci Game Development
Kartik MehtaMehta, Kartik Amazon Committee Member in Program Committee within the AIware Main Track-track
Xiangxin MengMeng, Xiangxin BytedanceChina Proceedings Chair in Organizing Committee for AIware 2026
Mariam El MezouarMezouar, Mariam El Royal Military CollegeCanada Testing AIware Systems: A Software Engineering Survey
Hua MingMing, Hua Quality and Security Signals in AI-Generated Python Refactoring Pull Requests
Audris MockusMockus, Audris The University of Tennessee, Knoxville / Vilnius UniversityUnited States A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Seyedmoein MohsenimofidiMohsenimofidi, Seyedmoein Heidelberg University A Dataset of Agentic AI Coding Tool Configurations Configuring Agentic AI Coding Tools: An Exploratory Study
GHORAB Mostafa AnouarMostafa Anouar, GHORAB Université Laval, CA Kubernetes Misconfigurations in the Wild: Taxonomy, Evolution, and Automated Repair with Large Language Models
Viraaji MothukuriMothukuri, Viraaji Kennesaw State UniversityUnited States Executable but Unlearnable: Designing Code that Resists LLM-Based Learning
Manisha MukherjeeMukherjee, Manisha Carnegie Mellon UniversityUnited States SOSecure: The Wisdom of the Crowd for Safer AI-Generated Code
Rajdeep MukherjeeMukherjee, Rajdeep Amazon, USAUnited States Industry Track Chair in Organizing Committee for AIware 2026 Industry Track Chair in Program Committee within the AIware Industry Demo Track-track
Vijayaraghavan MuraliMurali, Vijayaraghavan Rice University A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
N Mei NagappanNagappan, Mei University of WaterlooCanada Examining LLMs Ability to Summarize Code Through Mutation-Analysis
Nachiappan NagappanNagappan, Nachiappan Meta Platforms, Inc.United States A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Rahul NandaNanda, Rahul Facebook, US Recovering from Misbehaviors in Coding Agents
Noor NashidNashid, Noor University of British ColumbiaCanada Committee Member in Program Committee within the AIware Main Track-track
Chenye NiNi, Chenye RustBuildEq: A Benchmark for Binary Equivalence Under Build Variability
Pengyu NieNie, Pengyu University of WaterlooCanada When AI Coding Assistants Leak Training Data: Study Memorization in Code LLMs
Ulf NilssonNilsson, Ulf Linköping UniversitySweden JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks
Changan NiuNiu, Changan Software Institute, Nanjing University Committee Member in Program Committee within the AIware Main Track-track
Anthonia Oluchukwu NjokuNjoku, Anthonia Oluchukwu École Polytechnique de Montréal, Université de Montréal, CA When Code Authors Are Agents: A Large-Scale Study of Human–Agent Collaboration in Pull Requests
Nicole NovielliNovielli, Nicole University of BariItaly Competition Track Co-chair in Organizing Committee for AIware 2026 Co-chair in Program Committee within the AIware FSE-AIWare Joint Competition-track
O Daniel OgenrwotOgenrwot, Daniel University of Nevada Las VegasUnited States AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
P Matteo PaltenghiPaltenghi, Matteo University of StuttgartGermany Recovering from Misbehaviors in Coding Agents
Mahsa PanahandehPanahandeh, Mahsa University of OttawaCanada Committee Member in Program Committee within the AIware Main Track-track
Akshay PatelPatel, Akshay Meta Platforms, Inc. A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Sitesh PattanaikPattanaik, Sitesh Donald Bren School of Information and Computer Sciences, University of California, Irvine, US Is Artificial Intelligence an Elixir to the Software Engineering Community? An Empirical Study Among Managers
Brandon PaulsenPaulsen, Brandon AmazonUnited States Committee Member in Program Committee within the AIware Main Track-track
Chao PengPeng, Chao ByteDanceChina Program Co-Chair in Organizing Committee for AIware 2026 Program Co-Chair in Program Committee within the AIware Main Track-track
Yun PengPeng, Yun The Chinese University of Hong KongHong Kong SAR China Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Hung Viet PhamPham, Hung Viet York UniversityCanada SecVulEval: Context-Aware Benchmarking of LLMs for Vulnerability Detection
Maksim PlotnikovPlotnikov, Maksim Delft University of Technology, NL Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges
Denys PoshyvanykPoshyvanyk, Denys William & Mary Committee Member in Program Committee within the AIware Main Track-track
Michael PuPu, Michael University of Waterloo Examining LLMs Ability to Summarize Code Through Mutation-Analysis
Q Xue QinQin, Xue Villanova UniversityUnited States From Correctness to Consistency: Redefining Reliability for the Agentware Era
R Fazle RabbiRabbi, Fazle Concordia University HEJ-Robust: A Robustness Benchmark for LLM-based Automated Program Repair Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation
Dhivyabharathi RamasamyRamasamy, Dhivyabharathi University of Zurich, Switzerland Committee Member in Program Committee within the AIware Main Track-track
Elham RastegariRastegari, Elham Creighton UniversityUnited States TriORM: Workload-Aware Neural--Symbolic Multi-Objective Optimization for ORM Mapping Design Neural-Symbolic Multi-Objective Optimization for Performance-Aware ORM Database Design
Ravishka RathnasuriyaRathnasuriya, Ravishka The University of Texas - Dallas Committee Member in Program Committee within the AIware Main Track-track
Baishakhi RayRay, Baishakhi Columbia UniversityUnited States Program Co-Chair in Organizing Committee for AIware 2026 Program Co-Chair in Program Committee within the AIware Main Track-track
Peter RigbyRigby, Peter Concordia University; MetaCanada A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
S Soumit Kanti SahaSaha, Soumit Kanti Concordia University, CA Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation
Mohamed Aymen saiedsaied, Mohamed Aymen Laval UniversityCanada Kubernetes Misconfigurations in the Wild: Taxonomy, Evolution, and Automated Repair with Large Language Models
Harini SampathSampath, Harini Towards AI as a Collaborative Partner: A Taxonomy of AI Agent Behavior in Software Engineering
Italo SantosSantos, Italo University of Hawai‘i at MānoaUnited States Committee Member in Program Committee within the AIware Main Track-track
Prasun SaurabhSaurabh, Prasun Simula Research Laboratory, NO VISOR: A Vision-Language Model-based Test Oracle for Testing Robots
Larissa SchmidSchmid, Larissa KTH Royal Institute of Technology Committee Member in Program Committee within the AIware Main Track-track
Mehil ShahShah, Mehil Dalhousie UniversityCanada Committee Member in Program Committee within the AIware Main Track-track
Md Shamimur RahmanShamimur Rahman, Md University of SaskatchewanCanada Committee Member in Program Committee within the AIware Main Track-track
Shiwen ShanShan, Shiwen Sun Yat-sen UniversityChina Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Weiyi ShangShang, Weiyi University of Waterloo When AI Coding Assistants Leak Training Data: Study Memorization in Code LLMs
Zohreh SharafiSharafi, Zohreh Polytechnique MontréalCanada When Code Authors Are Agents: A Large-Scale Study of Human–Agent Collaboration in Pull Requests
Ridwan Salihin ShariffdeenShariffdeen, Ridwan Salihin SonarSourceSingapore Committee Member in Program Committee within the AIware Main Track-track
Jieke ShiShi, Jieke Singapore Management UniversitySingapore Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track Committee Member in Program Committee within the AIware Main Track-track
Sherry ShiShi, Sherry Google Towards AI as a Collaborative Partner: A Taxonomy of AI Agent Behavior in Software Engineering
Yuling ShiShi, Yuling Shanghai Jiao Tong UniversityChina ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track Committee Member in Program Committee within the AIware Main Track-track
Jiho ShinShin, Jiho Queen's UniversityCanada SecVulEval: Context-Aware Benchmarking of LLMs for Vulnerability Detection Committee Member in Program Committee within the AIware Main Track-track
Claudio SpiessSpiess, Claudio University of California, DavisUnited States How Robustly do LLMs Understand Execution Semantics?
Kushagra SrivastvaSrivastva, Kushagra Pennsylvania State University, US VeriTrans: Fine-Tuned LLM-Assisted NL→PL Translation via a Deterministic Neuro-Symbolic Pipeline
Miroslaw StaronStaron, Miroslaw Chalmers University of Technology and University of GothenburgSweden Understanding Conversational Patterns in Multi-Agent Programming: A Case Study On Fibonacci Game Development
Yulei SuiSui, Yulei University of New South WalesAustralia Detecting Unsoundness in Neural Network Verifiers via Concrete–Abstract Consistency
Gengyi SunSun, Gengyi University of Waterloo Publicity Co-Chair in Organizing Committee for AIware 2026
Simin SunSun, Simin Understanding Conversational Patterns in Multi-Agent Programming: A Case Study On Fibonacci Game Development
Weiyan SunSun, Weiyan Meta Platforms, Inc. A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
T Yiming TangTang, Yiming Rochester Institute of TechnologyUnited States Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Tasfia TasnimTasnim, Tasfia University of Texas at Dallas, USUnited States TOGBench: A Developer-Written Multi-Variant Dataset and Benchmark Suite for Test Oracle Generation
Valerio TerragniTerragni, Valerio University of AucklandNew Zealand RustBuildEq: A Benchmark for Binary Equivalence Under Build Variability Committee Member in Program Committee within the AIware Main Track-track
Zhao TianTian, Zhao Tianjin UniversityChina Committee Member in Program Committee within the AIware Main Track-track
Luca TrainiTraini, Luca University of L'AquilaItaly Committee Member in Program Committee within the AIware Main Track-track
Christoph TreudeTreude, Christoph Singapore Management UniversitySingapore A Dataset of Agentic AI Coding Tool Configurations Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap Configuring Agentic AI Coding Tools: An Exploratory Study Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
Eray TüzünTüzün, Eray Bilkent UniversityTurkey Fixpad++: Automated Bug Fix Verification Using LLM Agents
U Gias UddinUddin, Gias York University, CanadaCanada SWE-Bench+: Enhanced LLM Coding Benchmark An Empirical Study of Reasoning Steps in Thinking Code LLMs
V Pablo ValleValle, Pablo Mondragon UniversitySpain VISOR: A Vision-Language Model-based Test Oracle for Testing Robots
Arie van Deursenvan Deursen, Arie TU DelftNetherlands Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges
Daniel VarroVarro, Daniel Linköping University / McGill UniversitySweden JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks
Bogdan VasilescuVasilescu, Bogdan Carnegie Mellon UniversityUnited States Examining LLMs Ability to Summarize Code Through Mutation-Analysis
Gianmario VoriaVoria, Gianmario University of SalernoItaly Committee Member in Program Committee within the AIware Main Track-track
Brian VuVu, Brian Seattle University, US Is Artificial Intelligence an Elixir to the Software Engineering Community? An Empirical Study Among Managers
Roland VíznerVízner, Roland Delft University of Technology, NL Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges
W Jiawei WangWang, Jiawei Singapore University of Social Sciences Singapore Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Song WangWang, Song York UniversityCanada SWE-Bench+: Enhanced LLM Coding Benchmark SecVulEval: Context-Aware Benchmarking of LLMs for Vulnerability Detection An Empirical Study of Reasoning Steps in Thinking Code LLMs
Yanjun WangWang, Yanjun Amazon Web Services, USAUnited States Committee Member in Program Committee within the AIware Main Track-track
Yiran WangWang, Yiran Linköping UniversitySweden JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks
Yongpan WangWang, Yongpan Shanghai Jiaotong University, CN ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
Guannan WeiWei, Guannan Tufts UniversityUnited States Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Elliott WenWen, Elliott The University of Auckland RustBuildEq: A Benchmark for Binary Equivalence Under Build Variability
Jun Yeon WonWon, Jun Yeon Ohio State University, Columbus, US REBench: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names
X Jingyu XiaoXiao, Jingyu The Chinese University of Hong KongHong Kong SAR China Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Chaoxiang XieXie, Chaoxiang Hohai UniversityChina ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
Yisen XuXu, Yisen Concordia UniversityCanada Local Logistic and Scheduling Chair in Organizing Committee for AIware 2026
Haoran XueXue, Haoran York University, CA SWE-Bench+: Enhanced LLM Coding Benchmark An Empirical Study of Reasoning Steps in Thinking Code LLMs
Y Jun YanYan, Jun Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Ming YanYan, Ming Tsinghua University, ChinaChina Committee Member in Program Committee within the AIware Main Track-track
Boyang YangYang, Boyang Yanshan UniversityChina Committee Member in Program Committee within the AIware Main Track-track
Chengran YangYang, Chengran Singapore Management University, Singapore Committee Member in Program Committee within the AIware Main Track-track
Jinqiu YangYang, Jinqiu Concordia UniversityCanada HEJ-Robust: A Robustness Benchmark for LLM-based Automated Program Repair Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation
Kundi YaoYao, Kundi Ontario Tech UniversityCanada When AI Coding Assistants Leak Training Data: Study Memorization in Code LLMs
Jiongchi YuYu, Jiongchi Singapore Management UniversitySingapore Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track Committee Member in Program Committee within the AIware Main Track-track
Zhe YuYu, Zhe Rochester Institute of TechnologyUnited States Committee Member in Program Committee within the AIware Main Track-track
Z Andreas ZellerZeller, Andreas CISPA Helmholtz Center for Information SecurityGermany Can LLMs really reason about Code? Studying how well LLMs understand the relation between Input, Code, and Output
Wenhao ZengZeng, Wenhao Shanghai Jiao Tong UniversityChina ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
Cong ZhangZhang, Cong Southern Methodist University, Southern Methodist University, US A Preliminary Study on Explaining Risk of Code Changes using LLM-based Prediction Models
Hongyu ZhangZhang, Hongyu Chongqing UniversityChina ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
Lyuye ZhangZhang, Lyuye Nanyang Technological UniversitySingapore Committee Member in Program Committee within the AIware Main Track-track
Xiaoyu ZhangZhang, Xiaoyu Nanyang Technological University, SingaporeSingapore Committee Member in Program Committee within the AIware Main Track-track
Yuntong ZhangZhang, Yuntong National University of SingaporeSingapore Committee Member in Program Committee within the AIware Main Track-track
Xin ZhaoZhao, Xin Seattle University Is Artificial Intelligence an Elixir to the Software Engineering Community? An Empirical Study Among Managers
Mingwei ZhengZheng, Mingwei Purdue UniversityUnited States Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Thomas ZimmermannZimmermann, Thomas University of California, IrvineUnited States Steering Committee Co-Chair in Organizing Committee for AIware 2026 Steering Committee Co-Chair in Steering Committee for AIware 2026
İ Mustafa Özkan İrİr, Mustafa Özkan Bilkent University, Bilkent University, TR Fixpad++: Automated Bug Fix Verification Using LLM Agents