ASE 2025 (series) / AIware 2025 (series) /
AIware 2025 Program
This is the AIware 2025 program - see the full program for ASE 2025 and all affiliated events.
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Wed 19 NovDisplayed time zone: Seoul change
Wed 19 Nov
Displayed time zone: Seoul change
09:00 - 09:20 | OpeningMain Track at Grand Hall 1 Chair(s): Yiling Lou University of Illinois at Urbana-Champaign, Qinghua Lu Data61, CSIRO, Jie M. Zhang King's College London | ||
11:00 - 12:30 | |||
11:00 20mKeynote | Claude Code: From Single Agent in Terminal to Multi-Agent Systems Keynotes | ||
11:20 20mKeynote | Code assistants: from code completion to coding agents Keynotes Pre-print | ||
11:40 20mKeynote | Demystifying LLM-based Software Engineering Agents Keynotes Pre-print | ||
12:00 30mPanel | Joint Q&A and Discussion Keynotes | ||
14:00 - 15:30 | AIware Keynotes Session 2Keynotes at Grand Hall 1 Chair(s): Yiling Lou University of Illinois at Urbana-Champaign | ||
14:00 20mKeynote | Gemini CLI: The Terminal Renaissance Keynotes Pre-print | ||
14:20 20mKeynote | Ambient, Safe Agentic Automation on the GitHub Platform Keynotes Pre-print | ||
14:40 20mKeynote | Human To Hero: How Gen AI Can Be The Alfred That Transforms Anyone Into Batman Keynotes | ||
15:00 30mPanel | Joint Q&A and Discussion Keynotes | ||
17:35 - 18:20 | Brainstorming Panel 1: Future of SE agents and Workflow Main Track at Grand Hall 1 Chair(s): Ahmed E. Hassan Queen’s University | ||
Thu 20 NovDisplayed time zone: Seoul change
Thu 20 Nov
Displayed time zone: Seoul change
08:30 - 10:00 | AIware Keynotes Session 3Keynotes at Grand Hall 1 Chair(s): Gustavo Oliva Centre for Software Excellence, Huawei Canada | ||
08:30 20mKeynote | Spec Kit in Practice: Executable Specs, On‑Demand Checklists, and a Polya Loop Keynotes Pre-print | ||
08:50 20mKeynote | Automatically Maintaining Agent Systems: How Far Are We? Keynotes | ||
09:10 20mKeynote | Teaching LLMs to Debug: Toward Reasoning- and Tool-Aware Coding Agents Keynotes | ||
09:30 30mPanel | Joint Q&A and Discussion Keynotes | ||
10:30 - 11:50 | LLM-Based Software Testing and Quality AssuranceMain Track / Benchmark & Dataset Track at Grand Hall 1 Chair(s): Xiaoning Du Monash University | ||
10:30 8mTalk | Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases Main Track Hidetake Tanaka Nara Institute of Science and Technology, Haruto Tanaka Nara Institute of Science and Technology, Kazumasa Shimari Nara Institute of Science and Technology, Kenichi Matsumoto Nara Institute of Science and Technology Pre-print | ||
10:38 8mTalk | Understanding LLM-Driven Test Oracle Generation Main Track Adam Bodicoat University of Auckland, Gunel Jahangirova King's College London, Valerio Terragni University of Auckland | ||
10:46 8mTalk | Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests Main Track Myron David Peixoto Federal University of Alagoas, Baldoino Fonseca Universidade Federal de Alagoas, Davy Baía Federal University of Alagoas, Kevin Lira North Carolina State University, Márcio Ribeiro Federal University of Alagoas, Brazil, Wesley K.G. Assunção North Carolina State University, Nathalia Nascimento Pennsylvania State University, Paulo Alencar University of Waterloo File Attached | ||
10:54 8mTalk | Software Testing with Large Language Models: An Interview Study with Practitioners Main Track Maria Deolinda Cesar school, Cleyton Magalhaes Universidade Federal Rural de Pernambuco, Ronnie de Souza Santos University of Calgary | ||
11:02 8mTalk | HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation Main Track Rabimba Karanjai University of Houston, Lei Xu Kent State University, Weidong Shi University of Houston | ||
11:10 8mTalk | Assertion-Aware Test Code Summarization with Large Language Models Benchmark & Dataset Track Anamul Haque Mollah University of North Texas, Ahmed Aljohani University of North Texas, Hyunsook Do University of North Texas DOI Pre-print | ||
11:20 30mLive Q&A | Joint Q&A and Discussion #LLMforTesting Main Track | ||
11:50 - 12:30 | Future of AIwareBenchmark & Dataset Track / Main Track / ArXiv Track at Grand Hall 1 Chair(s): Haoye Tian Aalto University | ||
11:50 8mTalk | The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project Main Track Robin Gröpler ifak - Institute for Automation and Communication, Magdeburg, Steffen Klepke Siemens AG, Jack Johns BT Group PLC, Andreas Dreschinski Akkodis, Klaus Schmid , Benedikt Dornauer University of Innsbruck; University of Cologne, Eray Tüzün Bilkent University, Joost Noppen , Mohammad Reza Mousavi King's College London, Yongjian Tang Siemens AG, Germany, Johannes Viehmann Fraunhofer FOKUS, Germany, Selin Şirin Aslangül , Beum Seuk Lee BT Group PLC, Adam Ziolkowski BT, Eric Zie Pre-print | ||
11:58 5mTalk | Where Do LLMs Still Struggle? An In-Depth Analysis of Code Generation Benchmarks Benchmark & Dataset Track | ||
12:03 5mTalk | Guidelines for Empirical Studies in Software Engineering involving Large Language Models ArXiv Track Sebastian Baltes Heidelberg University, Florian Angermeir fortiss GmbH, Chetan Arora Monash University, Marvin Muñoz Barón Technical University of Munich, Chunyang Chen TU Munich, Lukas Böhme Hasso Plattner Institute, University of Potsdam, Potsdam, Germany, Fabio Calefato University of Bari, Neil Ernst University of Victoria, Davide Falessi University of Rome Tor Vergata, Italy, Brian Fitzgerald Lero - The Irish Software Research Centre and University of Limerick, Davide Fucci Blekinge Institute of Technology, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Stefano Lambiase Department of Computer Science, Aalborg University, Denmark, Daniel Russo Department of Computer Science, Aalborg University, Mircea Lungu IT University, Copenhagen, Lutz Prechelt Freie Universität Berlin, Paul Ralph Dalhousie University, Christoph Treude Singapore Management University, Stefan Wagner Technical University of Munich Pre-print | ||
12:10 20mLive Q&A | Joint Q&A and Discussion #FutureofAIware Main Track | ||
14:00 - 15:00 | |||
14:00 20mKeynote | Unlocking the Potential of LLMs with Care: Can They Really Understand Code Changes? Keynotes | ||
14:20 20mKeynote | AIware: Beyond Correctness Keynotes | ||
14:40 20mPanel | Joint Q&A and Discussion Keynotes | ||
15:00 - 15:29 | Evaluation Frameworks, and Quantitative Assessment of LLMs (Part 1)Benchmark & Dataset Track / Main Track at Grand Hall 1 Chair(s): Zhou Yang University of Alberta, Alberta Machine Intelligence Institute | ||
15:00 8mTalk | Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study Main Track Sivajeet Chand Technical University of Munich, Melih Kilic Technical University of Munich, Roland Würsching Technical University of Munich, Sushant Kumar Pandey University of Groningen, The Netherlands, Alexander Pretschner TU Munich Pre-print | ||
15:08 8mTalk | Benchmarking Web API Integration Code Generation Benchmark & Dataset Track Daniel Maninger TU Darmstadt, Leon Chemnitz TU Darmstadt, Amir Molzam Sharifloo , Mira Mezini TU Darmstadt; hessian.AI; National Research Center for Applied Cybersecurity ATHENE Pre-print | ||
15:16 8mTalk | From Search to Reasoning: A Five-Level RAG Capability Framework for Enterprise Data Benchmark & Dataset Track Gurbinder Gill , Ritvik Gupta Carnegie Mellon University, USA, Denis Lusson , Anand Chandrashekar , Donald Nguyen Corvic AI Pre-print | ||
15:24 5mTalk | SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering Tasks Benchmark & Dataset Track Sanket Mhatre Microsoft, Yasharth Bajpai Microsoft, Sumit Gulwani Microsoft, Emerson Murphy-Hill Microsoft, Gustavo Soares Microsoft Pre-print | ||
16:00 - 16:50 | Evaluation Frameworks, and Quantitative Assessment of LLMs (Part 2)Main Track / Benchmark & Dataset Track at Grand Hall 1 Chair(s): Zhou Yang University of Alberta, Alberta Machine Intelligence Institute | ||
16:00 8mTalk | PromptExp: Multi-granularity Prompt Explanation of Large Language Models Main Track Ximing Dong Centre for Software Excellence at Huawei Canada, Shaowei Wang University of Manitoba, Dayi Lin Centre for Software Excellence, Huawei Canada, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Ahmed E. Hassan Queen’s University | ||
16:08 8mTalk | Beyond Code Explanations: A Ray of Hope for Cross-Language Vulnerability Repair Main Track Kevin Lira North Carolina State University, Baldoino Fonseca Universidade Federal de Alagoas, Wesley K.G. Assunção North Carolina State University, Davy Baía Federal University of Alagoas, Márcio Ribeiro Federal University of Alagoas, Brazil Pre-print | ||
16:16 8mTalk | Secure Code Generation at Scale with Reflexion Benchmark & Dataset Track Arup Datta University of North Texas, Ahmed Aljohani University of North Texas, Hyunsook Do University of North Texas Pre-print | ||
16:24 5mTalk | A Tool for Benchmarking Large Language Models' Robustness in Assessing the Realism of Driving Scenarios Benchmark & Dataset Track Jiahui Wu Simula Research Laboratory and University of Oslo, Chengjie Lu Simula Research Laboratory and University of Oslo, Aitor Arrieta Mondragon University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University Pre-print | ||
16:29 21mLive Q&A | Joint Q&A and Discussion #LLMAssessment Main Track | ||
16:50 - 17:35 | Responsible, Ethical, and Legal Dimensions of AIwareMain Track at Grand Hall 1 Chair(s): Jingzhi Gong | ||
16:50 8mTalk | Neuro-Symbolic Compliance: Integrating LLMs and SMT for Automated Financial Legal Analysis Main Track Yung Shen HSIA National Chengchi University, Fang Yu National Chengchi University, Jie-Hong Roland Jiang National Taiwan University File Attached | ||
16:58 8mTalk | Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment Main Track Asma Yamani King Fahd University of Petroleum and Minerals, Malak Baslyman King Fahd University of Petroleum & Minerals, Moataz Ahmed King Fahd University of Petroleum and Minerals File Attached | ||
17:06 5mTalk | A Vision for Value-Aligned AI-Driven Systems Main Track Humphrey Obie Monash University | ||
17:11 5mTalk | Generative AI and Empirical Software Engineering: A Paradigm Shift Main Track Pre-print | ||
17:16 19mLive Q&A | Joint Discussion #ResponsibleAI Main Track | ||
17:35 - 18:20 | Brainstorming Panel 2: Critical Challenges in AIware & Possible SolutionsMain Track at Grand Hall 1 Chair(s): Dayi Lin Centre for Software Excellence, Huawei Canada | ||
18:20 - 18:40 | |||