FORGE 2024
Sun 14 Apr 2024 Lisbon, Portugal
co-located with ICSE 2024
VenueCentro Cultural de Belém
Room namePequeno Auditório
Capacity272
Room InformationNo extra information available
Program

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Sun 14 Apr

Displayed time zone: Lisbon change

09:00 - 10:30
Opening and KeynoteCAIN Research and Experience Papers at Pequeno Auditório
Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute
09:00
30m
Day opening
Opening
CAIN Research and Experience Papers

09:30
60m
Keynote
Keynote by Pedro Bizarro - To have great machine learning models in production in harsh environments, first focus on the harsh environments
CAIN Research and Experience Papers

11:00 - 12:30
Architecting, Designing, Managing, and Modeling AI-Enabled SystemsCAIN Industry Talks / CAIN Research and Experience Papers at Pequeno Auditório
Chair(s): Nicolás Cardozo Universidad de los Andes
11:00
10m
Talk
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
CAIN Research and Experience Papers
Qinghua Lu Data61, CSIRO, Liming Zhu CSIRO’s Data61, Xiwei (Sherry) Xu Data61, CSIRO, Yue Liu CSIRO's Data61 & University of New South Wales, Zhenchang Xing CSIRO's Data61, Jon Whittle CSIRO's Data61 and Monash University
11:10
15m
Talk
Investigating the Impact of Solid Design Principles on Machine Learning Code UnderstandingDistinguished paper AwardDistinguished paper Award Candidate
CAIN Research and Experience Papers
Raphael Cabral Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Maria Teresa Baldassarre Department of Computer Science, University of Bari , Hugo Villamizar Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Tatiana Escovedo Pontifical Catholic University of Rio de Janeiro, Helio Côrtes Vieira Lopes PUC-Rio
Pre-print
11:25
10m
Industry talk
KnowING Intelligent Document Classification: A Deep Dive into Microservices and Efficient Models at ING
CAIN Industry Talks
A: Andrew Rutherfoord CWI; University of Groningen, A: Gert Vermeer , Andrea Capiluppi Brunel University
11:35
15m
Talk
An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering PerspectiveDistinguished paper Award Candidate
CAIN Research and Experience Papers
Jie JW Wu University of British Columbia (UBC)
Pre-print
11:50
10m
Industry talk
Engineering Challenges in Industrial AI
CAIN Industry Talks
12:00
10m
Talk
Approach for Argumenting Safety on Basis of an Operational Design Domain
CAIN Research and Experience Papers
Gereon Weiss Fraunhofer IKS, Marc Zeller Siemens AG, Hannes Schoenhaar Siemens Corporate Technology, Christian Drabek Fraunhofer Institute for Cognitive Systems IKS, Andreas Kreutz Fraunhofer Institute for Cognitive Systems IKS
12:10
15m
Talk
The Impact of Knowledge Distillation on the Performance and Energy Consumption of NLP Models
CAIN Research and Experience Papers
Ye Yuan Vrije Universiteit Amsterdam, Jiacheng Shi Vrije Universiteit Amsterdam, Zongyao Zhang Vrije Universiteit Amsterdam, Kaiwei Chen Vrije Universiteit Amsterdam, Eloise Zhang Vrije Universiteit Amsterdam, Vincenzo Stoico Vrije Universiteit Amsterdam, Ivano Malavolta Vrije Universiteit Amsterdam
14:00 - 15:30
Data Engineering and Management for AI-Enabled SystemsCAIN Research and Experience Papers / CAIN Industry Talks at Pequeno Auditório
Chair(s): Marc Zeller Siemens AG
14:00
15m
Talk
What About the Data? A Mapping Study on Data Engineering for AI Systems
CAIN Research and Experience Papers
Petra Heck Fontys University of Applied Sciences
Pre-print
14:15
15m
Talk
Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality
CAIN Research and Experience Papers
Gilberto Recupito University of Salerno, Raimondo Rapacciuolo University of Salerno, Dario Di Nucci University of Salerno, Fabio Palomba University of Salerno
14:30
15m
Talk
An Exploratory Study of Dataset and Model Management in Open Source Machine Learning ApplicationsDistinguished paper Award Candidate
CAIN Research and Experience Papers
Tajkia Rahman Toma University of Alberta, Cor-Paul Bezemer University of Alberta
14:45
10m
Talk
DVC in Open Source AI-development: The Action and the Reaction
CAIN Research and Experience Papers
Lorena Barreto Simedo Pacheco Concordia University, Musfiqur Rahman Concordia University, Fazle Rabbi Concordia University, Pouya Fathollahzadeh Queen’s University, Ahmad Abdellatif University of Calgary, Emad Shihab Concordia University, Tse-Hsun (Peter) Chen Concordia University, Jinqiu Yang Concordia University, Ying Zou Queen's University, Kingston, Ontario
14:55
10m
Industry talk
Structuring the world of unstructured text data – Balancing business requirements, training data availability, and model performance.
CAIN Industry Talks
15:05
10m
Industry talk
Invited: Artificial Intelligence Projects, a quest between meaningful use cases, data, and unfulfilled desires.
CAIN Industry Talks
A: Andreas Jedlitschka Fraunhofer IESE
15:15
15m
Live Q&A
Data : Q&A Session
CAIN Research and Experience Papers

16:00 - 18:00
Generative AI EngineeringCAIN Industry Talks / CAIN Research and Experience Papers at Pequeno Auditório
Chair(s): Ipek Ozkaya Carnegie Mellon University
16:00
15m
Talk
Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes
CAIN Research and Experience Papers
Gustavo Pinto Federal University of Pará (UFPA) and Zup Innovation, Cleidson de Souza Federal University of Pará, Brazil, Thayssa Rocha Zup Innovation & UFPA, Igor Steinmacher Northern Arizona University, Alberto de Souza Zup Innovation, Edward Monteiro StackSpot
16:15
10m
Talk
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
CAIN Research and Experience Papers
Dawen (David) Zhang CSIRO's Data61, Boming Xia CSIRO's Data61 & University of New South Wales, Yue Liu CSIRO's Data61 & University of New South Wales, Xiwei (Sherry) Xu Data61, CSIRO, Thong Hoang CSIRO's Data61, Zhenchang Xing CSIRO's Data61, Mark Staples CSIRO, Australia, Qinghua Lu Data61, CSIRO, Liming Zhu CSIRO’s Data61
16:25
10m
Industry talk
Innovating Translation: Lessons Learned from BWX Generative Language Engine
CAIN Industry Talks
Vanilson Burégio Bureau Works, A: Iverson Pereira Bureau Works, Henrique Cabral
16:35
15m
Talk
Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI AccountabilityDistinguished paper Award Candidate
CAIN Research and Experience Papers
Boming Xia CSIRO's Data61 & University of New South Wales, Qinghua Lu Data61, CSIRO, Liming Zhu CSIRO’s Data61, Sung Une (Sunny) Lee CSIRO's Data61, Yue Liu CSIRO's Data61 & University of New South Wales, Zhenchang Xing CSIRO's Data61
Pre-print
16:50
10m
Live Q&A
GenAI : Q&A
CAIN Research and Experience Papers

17:00
60m
Panel
Industry Panel
CAIN Industry Talks

Mon 15 Apr

Displayed time zone: Lisbon change

09:00 - 10:30
Keynote and PostersCAIN Posters / CAIN Research and Experience Papers at Pequeno Auditório
Chair(s): Jan Bosch Chalmers University of Technology, Henry Muccini University of L'Aquila, Italy
09:00
3m
Talk
A Domain Specific Language for Specification of Risk-oriented Object Detection Requirements
CAIN Posters
Junji Hashimoto GREE, Inc., Nobukazu Yoshioka Waseda University
09:03
3m
Talk
AI Security Continuum: Concept and Challenges
CAIN Posters
Hironori Washizaki Waseda University, Nobukazu Yoshioka Waseda University
09:06
3m
Talk
A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data
CAIN Posters
Mojtaba Mostafavi Department of Computer Engineering of Sharif University of Technology, Hamed Jahantigh Department of Computer Engineering of Sharif University of Technology, Alireza Asadi Department of Computer Engineering of Sharif University of Technology, Sepehr Kianian Department of Computer Engineering of Sharif University of Technology, Ashkan Khademian Department of Computer Engineering of Sharif University of Technology, Abbas Heydarnoori Bowling Green State University
09:09
3m
Talk
Automating Patch Set Generation from Code Reviews Using Large Language Models
CAIN Posters
Md Tajmilur Rahman Gannon University
09:12
3m
Talk
Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search
CAIN Posters
Gustavo Rodrigues dos Reis NAVER LABS Europe/LIG - UGA, Adrian Mos NAVER LABS Europe, Mario Cortes Cornax LIG - UGA, Cyril Labbé LIG - UGA
09:15
3m
Talk
Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation
CAIN Posters
Mojtaba Mostafavi Department of Computer Engineering of Sharif University of Technology, Ashkan Khademian Department of Computer Engineering of Sharif University of Technology, Sepehr Kianian Department of Computer Engineering of Sharif University of Technology, Alireza Asadi Department of Computer Engineering of Sharif University of Technology, Hamed Jahantigh Department of Computer Engineering of Sharif University of Technology, Abbas Heydarnoori Bowling Green State University
09:18
3m
Talk
Can causality accelerate experimentation in software systems?
CAIN Posters
Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge, Han-Bo Li Department of Computer Science and Technology, University of Cambridge, Neil D. Lawrence Department of Computer Science and Technology, Univesity of Cambridge
09:21
3m
Talk
Custom Developer GPT for Ethical AI Solutions
CAIN Posters
Lauren Olson Vrije Universiteit Amsterdam
Pre-print
09:24
3m
Talk
Evaluation of The Generality of Multi-view Modeling Framework for ML Systems
CAIN Posters
Jati H. Husen Waseda University, Japan, Jomphon Runpakprakun Waseda University, Japan, Sun Chang Waseda University, Japan, Hironori Washizaki Waseda University, Hnin Thandar Tun Waseda University, Japan, Nobukazu Yoshioka Waseda University, Japan, Yoshiaki Fukazawa Waseda University
09:27
3m
Talk
Prompt Smells: An Omen for Undesirable Generative AI Outputs
CAIN Posters
Krishna Ronanki University Of Gothenburg, Beatriz Cabrero-Daniel University of Gothenburg, Christian Berger Chalmers University of Technology, Sweden
09:30
3m
Talk
Taxonomy of Generative AI Applications for Risk Assessment
CAIN Posters
Hiroshi Tanaka Fujitsu Limited, Tokyo, Japan, Masaru Ide Fujitsu Limited, Jun Yajima Fujitsu Limited, Sachiko Onodera Fujitsu Limited, Kazuki Munakata Fujitsu Limited, Tokyo, Japan, Nobukazu Yoshioka Waseda University, Japan
09:35
55m
Keynote
Keynote by Christian Kästner - From Models to Systems: On the Role of Software Engineering for Machine Learning
CAIN Research and Experience Papers
Christian Kästner Carnegie Mellon University
11:00 - 12:30
Doctoral Symposium and Energy-Aware AI EngineeringCAIN Doctoral Symposium / CAIN Research and Experience Papers at Pequeno Auditório
Chair(s): Justus Bogner Vrije Universiteit Amsterdam, Silverio Martínez-Fernández UPC-BarcelonaTech
11:00
6m
Talk
Software Design Decisions for Greener Machine Learning-based Systems
CAIN Doctoral Symposium
Santiago del Rey Universitat Politècnica de Catalunya (UPC)
11:06
6m
Talk
Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach
CAIN Doctoral Symposium
11:12
6m
Talk
Optimizing Data Analytics Workflows through User-driven Experimentation
CAIN Doctoral Symposium
Keerthiga Rajenthiram Vrije Universiteit Amsterdam
11:18
6m
Talk
Component-based Approach to Software Engineering of Machine Learning-enabled Systems
CAIN Doctoral Symposium
Vladislav Indykov Chalmers | University of Gothenburg
11:24
6m
Talk
Threat Modeling of ML-intensive Systems: Research Proposal
CAIN Doctoral Symposium
Felix Viktor Jedrzejewski Blekinge Institute of Technology
11:30
6m
Talk
Continuous Quality Assurance ML Pipelines under the AI Act
CAIN Doctoral Symposium
Matthias Wagner Lund University
11:36
10m
Talk
Green Runner: A tool for efficient deep learning component selection
CAIN Research and Experience Papers
Jai Kannan Applied Artificial Intelligence Institute, Deakin University, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, Anj Simmons , Taylan Selvi Applied Artificial Intelligence Institute, Deakin University, Luís Cruz Delft University of Technology
11:46
15m
Talk
Engineering Carbon Emission-aware Machine Learning Pipelines
CAIN Research and Experience Papers
Erik Johannes Husom SINTEF Digital, Sagar Sen , Arda Goknil SINTEF Digital
12:01
10m
Talk
Identifying architectural design decisions for achieving green ML serving
CAIN Research and Experience Papers
Francisco Durán Universitat Politècnica De Catalunya - Barcelona Tech, Silverio Martínez-Fernández UPC-BarcelonaTech, Matias Martinez Universitat Politècnica de Catalunya (UPC), Patricia Lago Vrije Universiteit Amsterdam
Pre-print
12:11
10m
Talk
Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
CAIN Research and Experience Papers
Negar Alizadeh Universiteit Utrecht, Fernando Castor University of Twente and Federal University of Pernambuco
12:21
9m
Live Q&A
Energy: Q&A Session
CAIN Research and Experience Papers

14:00 - 15:30
14:00
15m
Talk
A Combinatorial Testing Approach to Hyperparameter OptimizationDistinguished paper Award Candidate
CAIN Research and Experience Papers
Krishna Khadka The University of Texas at Arlington, Jaganmohan Chandrasekaran Virginia Tech, Jeff Yu Lei University of Texas at Arlington, Raghu Kacker National Institute of Standards and Technology, D. Richard Kuhn National Institute of Standards and Technology
14:15
15m
Talk
Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs
CAIN Research and Experience Papers
Ziyu Li University of Sheffield, Donghwan Shin University of Sheffield
14:30
10m
Talk
LLMs for Test Input Generation for Semantic Applications
CAIN Research and Experience Papers
Zafaryab Rasool Applied Artificial Intelligence Institute, Deakin University, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, David Willie Applied Artificial Intelligence Institute, Deakin University, Stefanus Kurniawan Deakin University, Sherwin Balugo Applied Artificial Intelligence Institute, Deakin University, Srikanth Thudumu Deakin University, Mohamed Abdelrazek Deakin University, Australia
14:40
10m
Talk
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs
CAIN Research and Experience Papers
MA Wanqin The Hong Kong University of Science and Technology, Chenyang Yang Carnegie Mellon University, Christian Kästner Carnegie Mellon University
14:50
10m
Talk
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
CAIN Research and Experience Papers
Ali Nouri Volvo cars & Chalmers University of Technology, Beatriz Cabrero-Daniel University of Gothenburg, Fredrik Torner Volvo cars, Hakan Sivencrona Zenseact AB, Christian Berger Chalmers University of Technology, Sweden
15:00
10m
Talk
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study
CAIN Research and Experience Papers
Hala Abdelkader Applied Artificial Intelligence Institute, Deakin University, Mohamed Abdelrazek Deakin University, Australia, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, Jean-Guy Schneider Monash University, Priya Rani RMIT University, Rajesh Vasa Deakin University, Australia
15:10
20m
Live Q&A
Test - Q&A Session
CAIN Research and Experience Papers

16:00 - 18:00
System QualitiesCAIN Research and Experience Papers / CAIN Industry Talks at Pequeno Auditório
Chair(s): Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge
16:00
10m
Talk
Modeling Resilience of Collaborative AI Systems
CAIN Research and Experience Papers
Diaeddin Rimawi Free University of Bozen-Bolzano, Antonio Liotta Free University of Bozen-Bolzano, Marco Todescato Fraunhofer Italia, Barbara Russo
16:10
10m
Talk
Seven Failure Points When Engineering a Retrieval Augmented Generation System
CAIN Research and Experience Papers
Scott Barnett Applied Artificial Intelligence Institute, Deakin University, Stefanus Kurniawan Deakin University, Srikanth Thudumu Deakin University, Zach Brannelly Deakin University, Mohamed Abdelrazek Deakin University, Australia
16:20
15m
Talk
POLARIS: A framework to guide the development of Trustworthy AI systems
CAIN Research and Experience Papers
Maria Teresa Baldassarre Department of Computer Science, University of Bari , Domenico Gigante SER&Practices and University of Bari, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Azzurra Ragone University of Bari
16:35
15m
Talk
Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory
CAIN Research and Experience Papers
A: Saeid Tizpaz-Niari University of Texas at El Paso, A: Sriram Sankaranarayanan University of Colorado, Boulder
16:50
15m
Talk
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World
CAIN Research and Experience Papers
Lorena Poenaru-Olaru TU Delft, Natalia Karpova TU Delft, Luís Cruz Delft University of Technology, Jan S. Rellermeyer Leibniz University Hannover, Arie van Deursen Delft University of Technology
17:05
15m
Talk
Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving
CAIN Research and Experience Papers
Minh-Tri Nguyen Aalto University, Hong-Linh Truong Aalto University, Tram Truong-Huu Singapore Institute of Technology
17:20
10m
Industry talk
Trustworthy AI: Industry-Guided Tooling of the Methods
CAIN Industry Talks
Zakaria Chihani CEA, LIST, France
17:30
15m
Live Q&A
System Qualities: Q&A Session
CAIN Research and Experience Papers

17:45
15m
Day closing
Closing
CAIN Research and Experience Papers
Jan Bosch Chalmers University of Technology

Tue 16 Apr

Displayed time zone: Lisbon change

09:00 - 09:30
OpeningICSE New Faculty Symposium at Pequeno Auditório

The symposium will provide plenty of time for informal interaction and will facilitate conversations with a series of short talks covering a broad range of issues faced by faculty members as well as interactive sessions. The NFS will be open to anyone who registered for ICSE main conference. For maximum benefit, including connecting to your peers, we recommend young faculty members to attend the full day.

09:00
30m
Talk
Introduction and Self-Introduction
ICSE New Faculty Symposium
David Lo Singapore Management University, Arie van Deursen Delft University of Technology
09:30 - 10:30
Session 1: Vision & FundingICSE New Faculty Symposium at Pequeno Auditório
09:30
30m
Talk
Building Your Research Vision
ICSE New Faculty Symposium
Claire Le Goues Carnegie Mellon University
10:00
30m
Talk
Funding Strategies
ICSE New Faculty Symposium
Denys Poshyvanyk William & Mary
11:00 - 12:30
Session 2: Networking, Service & TeachingICSE New Faculty Symposium at Pequeno Auditório
11:00
30m
Talk
Building a Collaborative Research Network
ICSE New Faculty Symposium
Foutse Khomh École Polytechnique de Montréal
11:30
30m
Talk
Service to the Community
ICSE New Faculty Symposium
Massimiliano Di Penta University of Sannio, Italy
Pre-print
12:00
30m
Talk
Teaching and Instructional Work
ICSE New Faculty Symposium
Janet Siegmund Chemnitz University of Technology
File Attached
14:00 - 15:30
Session 3: Advancement, Well-Being & MentoringICSE New Faculty Symposium at Pequeno Auditório
14:00
30m
Talk
Career Advancement, Growth & Development
ICSE New Faculty Symposium
Danny Dig University of Colorado Boulder, JetBrains Research
File Attached
14:30
30m
Talk
Social Safety, Well-Being, Work & Life Balance
ICSE New Faculty Symposium
Kelly Blincoe University of Auckland
15:00
30m
Talk
Mentoring and Supervising Students
ICSE New Faculty Symposium
Miryung Kim UCLA and Amazon Web Services
Link to publication Pre-print
16:00 - 17:30
Session 4: Open Q&A SessionICSE New Faculty Symposium at Pequeno Auditório

Throughout the New Faculty Symposium, we will collect main points worthy of further discussion. In this closing session, the participants and the speakers will return to these points, and address any further open questions concerning career development of new faculty.

17:30 - 18:30
Software Architecture Town HallICSE Social Events at Pequeno Auditório

Mandatory Registration Required: https://forms.gle/acCPoV4a9kvTCVee7

17:30
60m
Meeting
Software Architecture Town Hall
ICSE Social Events

Wed 17 Apr

Displayed time zone: Lisbon change

11:00 - 12:30
11:00
15m
Talk
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors
ICSE Research Track
Yun Peng The Chinese University of Hong Kong, Shuzheng Gao The Chinese University of Hong Kong, Cuiyun Gao Harbin Institute of Technology, Yintong Huo The Chinese University of Hong Kong, Michael Lyu The Chinese University of Hong Kong
11:15
15m
Talk
VeRe: Verification Guided Synthesis for Repairing Deep Neural Networks
ICSE Research Track
Jianan Ma Hangzhou Dianzi University, China; Zhejiang University, Hangzhou, China, Pengfei Yang Institute of Software at Chinese Academy of Sciences, China, Jingyi Wang Zhejiang University, Youcheng Sun The University of Manchester, Cheng-Chao Huang Nanjing Institute of Software Technology, ISCAS, Zhen Wang Hangzhou Dianzi University, China
11:30
15m
Talk
Automated Program Repair, What Is It Good For? Not Absolutely Nothing!
ICSE Research Track
Hadeel Eladawy University of Massachusetts, Claire Le Goues Carnegie Mellon University, Yuriy Brun University of Massachusetts
DOI Pre-print Media Attached
11:45
15m
Talk
When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done?
ICSE Industry Challenge Track
YuXiao Chen Institute of Software, Chinese Academy of Sciences, Jingzheng Wu Institute of Software, The Chinese Academy of Sciences, Xiang Ling Institute of Software, Chinese Academy of Sciences, Changjiang Li Penn State, ZHIQING RUI Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Tianyue Luo Institute of Software, Chinese Academy of Sciences, Yanjun Wu Institute of Software, Chinese Academy of Sciences
12:00
7m
Talk
Katana: Dual Slicing Based Context for Learning Bug Fixes
ICSE Journal-first Papers
Mifta Sintaha University of British Columbia, Noor Nashid University of British Columbia, Ali Mesbah University of British Columbia (UBC)
Link to publication Pre-print
12:07
7m
Talk
Poracle: Testing Patches Under Preservation Conditions to Combat the Overfitting Problem of Program Repair
ICSE Journal-first Papers
Elkhan Ismayilzada UNIST, Md Mazba Ur Rahman UNIST, Dongsun Kim Kyungpook National University, Jooyong Yi UNIST
12:14
7m
Talk
APR4Vul: An empirical study of automatic program repair techniques on real-world Java vulnerabilities
ICSE Journal-first Papers
Quang-Cuong Bui Hamburg University of Technology, Ranindya Paramitha University of Trento, Duc-Ly Vu University of Information Technology, Ho Chi Minh City, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam, Riccardo Scandariato Hamburg University of Technology
DOI Pre-print
14:00 - 15:30
14:00
15m
Talk
Practical Program Repair via Preference-based Ensemble Strategy
ICSE Research Track
Wenkang Zhong State Key Laboratory for Novel Software and Technology, Nanjing University, 22 Hankou Road, Nanjing, China, Chuanyi Li Nanjing University, Kui Liu Huawei, Tongtong Xu Huawei, Jidong Ge Nanjing University, Tegawendé F. Bissyandé University of Luxembourg, Bin Luo Nanjing University, Vincent Ng Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX 75083-0688
14:15
15m
Talk
Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data
ICSE Research Track
Martin Tappler TU Graz; Silicon Austria Labs, Andrea Pferscher Institute of Software Technology, Graz University of Technology , Bernhard Aichernig Graz University of Technology, Bettina Könighofer Graz University of Technology
14:30
15m
Talk
BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing
ICSE Research Track
WONG Wai Kin Hong Kong University of Science and Technology, Huaijin Wang Hong Kong University of Science and Technology, Li Zongjie Hong Kong University of Science and Technology, Shuai Wang The Hong Kong University of Science and Technology
14:45
15m
Talk
Constraint Based Program Repair for Persistent Memory Bugs
ICSE Research Track
Zunchen Huang University of Southern California, Chao Wang University of Southern California
15:00
15m
Talk
User-Centric Deployment of Automated Program Repair at Bloomberg
ICSE Software Engineering in Practice
David Williams University College London, James Callan UCL, Serkan Kirbas Bloomberg LP, Sergey Mechtaev University College London, Justyna Petke University College London, Thomas Prideaux-Ghee Bloomberg LP, Federica Sarro University College London
15:15
7m
Talk
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
ICSE Journal-first Papers
Michael Fu Monash University, Kla Tantithamthavorn Monash University, Trung Le Monash University, Australia, Yuki Kume Monash University, Van Nguyen Monash University, Dinh Phung Monash University, Australia, John Grundy Monash University
Link to publication DOI Pre-print
16:00 - 17:30
Program Repair 3ICSE Research Track at Pequeno Auditório
Chair(s): Alcides Fonseca University of Lisbon
16:00
15m
Talk
RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness
ICSE Research Track
Li Tianlin Nanyang Technological University, Yue Cao Nanyang Technological University, Jian Zhang Nanyang Technological University, Shiqian Zhao Nanyang Technological University, Yihao Huang East China Normal University, Aishan Liu Beihang University; Institute of Dataspace, Qing Guo IHPC and CFAR at A*STAR, Singapore, Yang Liu Nanyang Technological University
16:15
15m
Talk
ITER: Iterative Neural Repair for Multi-Location Patches
ICSE Research Track
He Ye Carnegie Mellon University, Martin Monperrus KTH Royal Institute of Technology
16:30
15m
Talk
Out of Context: How important is Local Context in Neural Program Repair?
ICSE Research Track
Julian Prenner Free University of Bozen-Bolzano, Romain Robbes CNRS, LaBRI, University of Bordeaux
16:45
15m
Talk
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources
ICSE Research Track
Xin Zhou Singapore Management University, Singapore, Kisub Kim Singapore Management University, Singapore, Bowen Xu North Carolina State University, DongGyun Han Royal Holloway, University of London, David Lo Singapore Management University
17:00
15m
Talk
Strengthening Supply Chain Security with Fine-grained Safe Patch Identification
ICSE Research Track
Luo Changhua The Chinese University of Hong Kong, Wei Meng Chinese University of Hong Kong, Shuai Wang The Hong Kong University of Science and Technology
17:30 - 18:30
Townhall meeting TCSE and SIGSOFTICSE Social Events at Pequeno Auditório
Chair(s): Marsha Chechik University of Toronto, Ladan Tahvildari University of Waterloo
17:30
60m
Meeting
Townhall meeting TCSE and SIGSOFT
ICSE Social Events

Thu 18 Apr

Displayed time zone: Lisbon change

11:00 - 12:30
11:00
15m
Talk
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
ICSE Research Track
Yuxuan Jiang University of Michigan Ann-Arbor, Chaoyun Zhang Microsoft, Shilin He Microsoft Research, Zhihao Yang Peking University, Minghua Ma Microsoft Research, Si Qin Microsoft Research, Yu Kang Microsoft Research, Yingnong Dang Microsoft Azure, Saravan Rajmohan Microsoft 365, Qingwei Lin Microsoft, Dongmei Zhang Microsoft Research
11:15
15m
Talk
Tensor-Aware Energy Accounting
ICSE Research Track
Timur Babakol SUNY Binghamton, USA, Yu David Liu SUNY Binghamton
DOI Pre-print
11:30
15m
Talk
LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems
ICSE Software Engineering in Practice
Mohamad Fakih University of California, Irvine, Rahul Dharmaji University of California, Irvine, Yasamin Moghaddas University of California, Irvine, Gustavo Quiros Siemens Technology, Tosin Ogundare Siemens Technology, Mohammad Al Faruque UCI
11:45
15m
Talk
Resolving Code Review Comments with Machine Learning
ICSE Software Engineering in Practice
Alexander Frömmgen Google, Jacob Austin Google, Peter Choy Google, Nimesh Ghelani Google, Lera Kharatyan Google, Gabriela Surita Google, Elena Khrapko Google, Pascal Lamblin Google, Pierre-Antoine Manzagol Google, Marcus Revaj Google, Maxim Tabachnyk Google, Danny Tarlow Google, Kevin Villela Google, Dan Zheng Google DeepMind, Satish Chandra Google, Inc, Petros Maniatis Google DeepMind
12:00
15m
Talk
LLMs Still Can't Avoid Instanceof: An investigation Into GPT-3.5, GPT-4 and Bard's Capacity to Handle Object-Oriented Programming Assignments
ICSE Software Engineering Education and Training
Bruno Pereira Cipriano Lusófona University, COPELABS, Pedro Alves Lusófona University, COPELABS
12:15
7m
Talk
Leveraging Large Language Models to Improve REST API Testing
ICSE New Ideas and Emerging Results
Myeongsoo Kim Georgia Institute of Technology, Tyler Stennett Georgia Institute of Technology, Dhruv Shah Georgia Institute of Technology, Saurabh Sinha IBM Research, Alessandro Orso Georgia Institute of Technology
Pre-print
12:22
7m
Talk
LogExpert: Log-based Recommended Resolutions Generation using Large Language Model
ICSE New Ideas and Emerging Results
JiaboWang Beijing University of Posts and Telecommunications, guojun chu Beijing University of Posts and Telecommunications, Jingyu Wang , Haifeng Sun Beijing University of Posts and Telecommunications, Qi Qi , Yuanyi Wang Beijing University of Posts and Telecommunications, Ji Qi China Mobile (Suzhou) Software Technology Co., Ltd., Jianxin Liao Beijing University of Posts and Telecommunications
14:00 - 15:30
14:00
15m
Talk
Programming Assistant for Exception Handling with CodeBERT
ICSE Research Track
Yuchen Cai University of Texas at Dallas, Aashish Yadavally University of Texas at Dallas, Abhishek Mishra University of Texas at Dallas, Genesis Montejo University of Texas at Dallas, Tien N. Nguyen University of Texas at Dallas
14:15
15m
Talk
An Empirical Study on Noisy Label Learning for Program Understanding
ICSE Research Track
Wenhan Wang Nanyang Technological University, Yanzhou Li Nanyang Technological University, Anran Li Nanyang Technological University, Jian Zhang Nanyang Technological University, Wei Ma Nanyang Technological University, Singapore, Yang Liu Nanyang Technological University
Pre-print
14:30
15m
Talk
An Empirical Study on Low GPU Utilization of Deep Learning Jobs
ICSE Research Track
Yanjie Gao Microsoft Research, yichen he , Xinze Li Microsoft Research, Bo Zhao Microsoft Research, Haoxiang Lin Microsoft Research, Yoyo Liang Microsoft, Jing Zhong Microsoft, Hongyu Zhang Chongqing University, Jingzhou Wang Microsoft Research, Yonghua Zeng Microsoft, Keli Gui Microsoft, Jie Tong Microsoft, Mao Yang Microsoft Research
DOI Pre-print
14:45
15m
Talk
Using an LLM to Help With Code Understanding
ICSE Research Track
Daye Nam Carnegie Mellon University, Andrew Macvean Google, Inc., Vincent J. Hellendoorn Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University, Brad A. Myers Carnegie Mellon University
15:00
15m
Talk
MissConf: LLM-Enhanced Reproduction of Configuration-Triggered Bugs
ICSE Industry Challenge Track
Ying Fu National University of Defense Technology, Teng Wang National University of Defense Technology, Shanshan Li National University of Defense Technology, Jinyan Ding National University of Defense Technolog, Shulin Zhou National University of Defense Technology, Zhouyang Jia National University of Defense Technology, Wang Li National University of Defense Technology, Yu Jiang Tsinghua University, Liao Xiangke National University of Defense Technology
File Attached
15:15
7m
Talk
XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development
ICSE New Ideas and Emerging Results
Zerui Wang Concordia University, Yan Liu Concordia University, Abishek Arumugam Thiruselvi Concordia University, Wahab Hamou-Lhadj Concordia University, Montreal, Canada
DOI Pre-print
15:22
7m
Talk
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?
ICSE New Ideas and Emerging Results
Alejandro Velasco William & Mary, David Nader Palacio William & Mary, Daniel Rodriguez-Cardenas , Denys Poshyvanyk William & Mary
Pre-print

Sun 14 Apr

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Pequeno Auditório

Mon 15 Apr

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Pequeno Auditório

Wed 17 Apr

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Thu 18 Apr

Displayed time zone: Lisbon change

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Pequeno Auditório