PROMISE 2026 Contributors

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A Moein AbtahiAbtahi, Moein Ontario Tech UniversityCanada NGQA: Next-Gen Software Quality Accelerator using AI Agents and LLM Reasoning
Hirohisa AmanAman, Hirohisa Ehime UniversityJapan Committee Member in Programming Committee within the PROMISE-track
Faiza AmjadAmjad, Faiza Chalmers University of Technology and University of Gothenburg Developer Behavior in Response to LLM-Generated Code Refactoring Suggestions
Larisse AmorimAmorim, Larisse Federal University of Minas Gerais High Agreement, Shallow Reasoning: A Mixed-Method Study of LLMs in Refactoring Reviews
Gabor AntalAntal, Gabor Department of Software Engineering, University of SzegedHungary Committee Member in Programming Committee within the PROMISE-track
Tehreem AsifAsif, Tehreem Chalmers University of Technology and University of Gothenburg Developer Behavior in Response to LLM-Generated Code Refactoring Suggestions
Akramul AzimAzim, Akramul Ontario Tech UniversityCanada Model-Driven Automation of Cyber-Physical Systems via AADL and LLMs NGQA: Next-Gen Software Quality Accelerator using AI Agents and LLM Reasoning
B Yoseph Berhanu AlebachewBerhanu Alebachew, Yoseph Virginia TechUnited States Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
Ricardo BrittoBritto, Ricardo Ericsson / Blekinge Institute of TechnologySweden MAS-SRE: A Multi-Agent System for Security Requirements Engineering
Chris BrownBrown, Chris Virginia TechUnited States Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
Ichsan BudimanBudiman, Ichsan University of Birmingham Do LLMs Learn Structure or Names? A Study on the Robustness of Design-Pattern Detection to Identifier Shifts
C Jinfu ChenChen, Jinfu Wuhan UniversityChina Committee Member in Programming Committee within the PROMISE-track
Tse-Hsun (Peter) ChenChen, Tse-Hsun (Peter) Concordia UniversityCanada Keynote 2 - Rethinking Reliability for Software Engineering Agents An Empirical Study of Waterfall-style Multi-Agent Workflows for Class-Level Code Generation
Eunjong ChoiChoi, Eunjong Kyoto Institute of TechnologyJapan Committee Member in Programming Committee within the PROMISE-track
F Sen FangFang, Sen North Carolina State UniversityUnited States Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
Eduardo FigueiredoFigueiredo, Eduardo Federal University of Minas GeraisBrazil High Agreement, Shallow Reasoning: A Mixed-Method Study of LLMs in Refactoring Reviews
Caique FortunatoFortunato, Caique Federal University of Minas Gerais High Agreement, Shallow Reasoning: A Mixed-Method Study of LLMs in Refactoring Reviews
Farnaz FotrousiFotrousi, Farnaz Chalmers University of Technology and University of GothenburgSweden Enforcing LLMs to Use Software Design Patterns: A Case of Singleton
G Francisco Gomes de Oliveira NetoGomes de Oliveira Neto, Francisco Chalmers \| University of GothenburgSweden Developer Behavior in Response to LLM-Generated Code Refactoring Suggestions
H Steffen HerboldHerbold, Steffen University of PassauGermany Committee Member in Programming Committee within the PROMISE-track
Bin HuHu, Bin Institute of Computing Technology, Chinese Academy of SciencesChina Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
Youwei HuangHuang, Youwei Independent Researcher Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
I Wasique Islam ShafinIslam Shafin, Wasique Concordia UniversityCanada An Empirical Study of Waterfall-style Multi-Agent Workflows for Class-Level Code Generation
K Ranim KhojahKhojah, Ranim Chalmers University of Technology and University of GothenburgSweden Developer Behavior in Response to LLM-Generated Code Refactoring Suggestions
Viktor KjellbergKjellberg, Viktor Chalmers University of Technology and University of GothenburgSweden Enforcing LLMs to Use Software Design Patterns: A Case of Singleton
L Maxime LamotheLamothe, Maxime Polytechnique MontrealCanada Committee Member in Programming Committee within the PROMISE-track
Hunter LearyLeary, Hunter Virginia Tech Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
Philipp LeitnerLeitner, Philipp Chalmers \| University of GothenburgSweden Developer Behavior in Response to LLM-Generated Code Refactoring Suggestions
Jianwen LiLi, Jianwen Carnegie Mellon University, Silicon Valley Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
Junjie LiLi, Junjie Concordia University Secure-Instruct: Prompt, Synthesize, and Fine-Tune for Secure Code Generation
Yao LiLi, Yao Macau University of Science and Technology Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
Zhenhao LiLi, Zhenhao York UniversityCanada An Empirical Study of Waterfall-style Multi-Agent Workflows for Class-Level Code Generation Committee Member in Programming Committee within the PROMISE-track
Yepang LiuLiu, Yepang Southern University of Science and TechnologyChina Committee Member in Programming Committee within the PROMISE-track
M Savvas MantzouranidisMantzouranidis, Savvas Blekinge Institute of Technology MAS-SRE: A Multi-Agent System for Security Requirements Engineering
Shane McIntoshMcIntosh, Shane University of WaterlooCanada Keynote 1 - The Limits of “Cute” CI/CD Pipelines
Leandro MinkuMinku, Leandro University of Birmingham, UKUnited Kingdom Do LLMs Learn Structure or Names? A Study on the Robustness of Design-Pattern Detection to Identifier Shifts Committee Member in Programming Committee within the PROMISE-track
Mazen MohamadMohamad, Mazen Chalmers \| RISE - Research Institutes of Sweden Developer Behavior in Response to LLM-Generated Code Refactoring Suggestions
N Csaba NagyNagy, Csaba PONTUM Software GmbHSwitzerland Session Chair of Session 3: Keynote and Research Papers on Code Understanding and Reasoning (part of PROMISE) Opening Closing Program Co-Chair in Organizing Committee within the PROMISE-track
O Francisco OrtinOrtin, Francisco University of OviedoSpain Probabilistic Evidence Aggregation for Source Code Authorship Verification: An Ongoing Set-Based Approach
R Fazle RabbiRabbi, Fazle Concordia University Secure-Instruct: Prompt, Synthesize, and Fine-Tune for Secure Code Generation
Md Naklha RafiRafi, Md Naklha Concordia University An Empirical Study of Waterfall-style Multi-Agent Workflows for Class-Level Code Generation
Gregorio RoblesRobles, Gregorio Universidad Rey Juan CarlosSpain Committee Member in Programming Committee within the PROMISE-track
S Jordan SamhiSamhi, Jordan University of Luxembourg, LuxembourgLuxembourg Committee Member in Programming Committee within the PROMISE-track
David SchönSchön, David Chalmers University of Technology and University of Gothenburg Developer Behavior in Response to LLM-Generated Code Refactoring Suggestions
Adriana SejfiaSejfia, Adriana University of EdinburghUnited Kingdom Publicity Chair in Organizing Committee within the PROMISE-track
Martin ShepperdShepperd, Martin Brunel University LondonUnited Kingdom Committee Member in Programming Committee within the PROMISE-track
Miroslaw StaronStaron, Miroslaw University of Gothenburg and Chalmers University of Technology Enforcing LLMs to Use Software Design Patterns: A Case of Singleton
Miroslaw StaronStaron, Miroslaw Chalmers University of Technology and University of GothenburgSweden Committee Member in Programming Committee within the PROMISE-track
Yanqi SuSu, Yanqi Technical University of Munich Committee Member in Programming Committee within the PROMISE-track
Xiaoyu SunSun, Xiaoyu Australian National University, AustraliaAustralia Opening Closing Program Co-Chair in Organizing Committee within the PROMISE-track
T Koji TodaToda, Koji Fukuoka Institute of Technology Committee Member in Programming Committee within the PROMISE-track
V Swanand VaishampayanVaishampayan, Swanand Virginia Tech Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
Gustavo ValeVale, Gustavo Federal University of Minas Gerais High Agreement, Shallow Reasoning: A Mixed-Method Study of LLMs in Refactoring Reviews
W Abdul WahabWahab, Abdul Ontario Tech UniversityCanada Model-Driven Automation of Cyber-Physical Systems via AADL and LLMs
Song WangWang, Song York UniversityCanada Secure-Instruct: Prompt, Synthesize, and Fine-Tune for Secure Code Generation
Zhijie WangWang, Zhijie Concordia UniversityCanada Session Chair of Session 4: Security, Trust, and Verification of LLM-Generated Code (part of PROMISE) Committee Member in Programming Committee within the PROMISE-track
Lili WeiWei, Lili McGill UniversityCanada Session Chair of Session 1: Keynote and Research Papers on LLM Code Generation Foundations (part of PROMISE) Opening Closing General Chair in Organizing Committee within the PROMISE-track
Y Bo YangYang, Bo Concordia University Secure-Instruct: Prompt, Synthesize, and Fine-Tune for Secure Code Generation
Jinqiu YangYang, Jinqiu Concordia UniversityCanada Session Chair of Session 2: LLMs for Code Quality and Developer Interaction (part of PROMISE) Secure-Instruct: Prompt, Synthesize, and Fine-Tune for Secure Code Generation
Peng YangYang, Peng Institute of Intelligent Computing Technology, Suzhou, CAS Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
Kundi YaoYao, Kundi Ontario Tech University Committee Member in Programming Committee within the PROMISE-track
Zhe YuYu, Zhe Rochester Institute of TechnologyUnited States Committee Member in Programming Committee within the PROMISE-track
Z Ahmed ZeroualiZerouali, Ahmed Orange BusinessBelgium Committee Member in Programming Committee within the PROMISE-track
Hongyu ZhangZhang, Hongyu Chongqing UniversityChina Committee Member in Programming Committee within the PROMISE-track
Neng ZhangZhang, Neng Central China Normal UniversityChina Committee Member in Programming Committee within the PROMISE-track
zejun zhangzhang, zejun Nanjing University Committee Member in Programming Committee within the PROMISE-track
Yuming ZhouZhou, Yuming Nanjing UniversityChina Committee Member in Programming Committee within the PROMISE-track
Hengcheng ZhuZhu, Hengcheng The Hong Kong University of Science and TechnologyHong Kong SAR China Committee Member in Programming Committee within the PROMISE-track
Á David Álvarez-FidalgoÁlvarez-Fidalgo, David University of OviedoSpain Probabilistic Evidence Aggregation for Source Code Authorship Verification: An Ongoing Set-Based Approach

PROMISE 2026 Contributors

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