Accepted Papers
Call for Papers
CAIN 2024 Abstract Submission Alert: The deadline for abstract submission is November 10. Please note that abstracts are now MANDATORY for the bidding process. Additionally, the new paper deadline has been set to November 20 to accommodate ICSE track notification dates. So, please submit your abstract by November 10th.
We invite submissions of research and experience papers in two categories:
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Long paper: Long papers are research or experience papers describing research results, case studies, or insights from industry experience. A research or experience full paper is up to 10 pages plus a maximum of 2 pages for references.
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Short paper: Papers describing new challenges, new research results, visionary ideas, or experiences from, or in cooperation with, practitioners are welcome as short papers. In progress research with interim results is also appropriate as a short paper. A short paper is up to 5 pages plus a maximum of 1 page for references. The paper submissions will undergo a review process with three independent reviews and a virtual PC discussion. Acceptance criteria include contribution to the field of software engineering for AI, novelty, research and industrial relevance, soundness, and results. The accepted full and short papers will be published in ACM Proceedings.
Scope and Topics of Interest
The area of interest for CAIN is Software Engineering for AI — improving the development of AI-based systems throughout the full life cycle. Topics include but are not limited to:
- System and software requirements and their relationship to AI/ML modeling.
- Data management ensuring relevance and efficiency related to business goals.
- System and software architecture for AI-enabled systems.
- Integration of AI and software development processes into the AI system development life cycle, including continuous integration and deployment, and system and software evolution.
- Ensuring and managing system and software nonfunctional properties and their relationship to AI/ML properties, including runtime properties such as performance, safety, security, and reliability; and life-cycle properties including reusability, maintainability and evolution.
- Collaboration, organizational, and management practices for a successful development of AI-enabled systems.
- Building effective infrastructures to support development of AI systems and components.
Note: Submissions that report strictly on data science or model development without any connection to software engineering and AI-enabled systems will be desk-rejected. As stated earlier, there are many venues for those papers where authors would get much more valuable and relevant feedback.
Submission Form
Research and experience papers should be submitted to HotCrp. The submission deadline is firm, no extensions.
All submissions must adhere to the following requirements:
- Page limit is 10 pages plus 2 additional pages of references for long papers and 5 pages plus 1 additional page for references for short papers.
- Submissions must be unpublished original work and should not be under review or submitted elsewhere while being under consideration.
- By submitting to CAIN, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism and IEEE Plagiarism FAQ. The authors also acknowledge that they conform to the authorship policy of the ACM and the authorship policy of the IEEE.
- Paper review will employ a double-anonymous review process. Thus, no submission may reveal its authors’ identities. The authors must make every effort to honor the double-anonymous review process. In particular:
- Authors’ names must be omitted from the submitted paper.
- All references to the author’s prior work should be in the third person.
- Authors are encouraged to title their submission differently than preprints of the authors on ArXiV or similar sites. During review, authors should not publicly use the submission title.
All authors should use the official “ACM Primary Article Template” that can be obtained from the ACM Proceedings Template page. LaTeX users should use the sigconf option, as well as the review (to produce line numbers for easy reference by the reviewers) and anonymous (omitting author names) options. To that end, the following LaTeX code can be placed at the start of the LaTeX document:
\documentclass[sigconf,review,anonymous]{acmart}
\acmConference[CAIN 2024]{3rd International Conference on AI Engineering — Software Engineering for AI}{April 2024}{Lisbon, Portugal}
Accepted papers will be published in the ICSE 2024 Co-located Event Proceedings and included in the IEEE and ACM Digital Libraries. Authors of accepted papers are required to register and present their accepted paper at the conference in order for the paper to be included in the proceedings and the Digital Libraries.
The official publication date is the date the proceedings are made available in the ACM or IEEE Digital Libraries. This date may be up to two weeks prior to the first day of ICSE 2024. The official publication date affects the deadline for any patent filings related to published work.
Authors of papers receiving a Conditional Accept decision are expected to submit the revised papers with changes marked in a different color, such as using LaTeXdiff. The authors also need to submit an “Author Response” document capturing the authors’ response to each reviewer comment and how those comments were addressed in the revision. This is similar to the “Summary of Changes and Response” document that is typically submitted by authors for a journal paper major revision. The reviewers will check the revised paper against the original paper and the suggested changes. Conditional Accepts will be checked by only one member of the Program Committee, and this will be done in one pass.
Authors of rejected long papers may receive an acceptance as a short paper if the PC chairs and reviewers agree that it better meets the criteria for short papers. In this case, authors may decide to accept or reject the invitation if they would rather submit as a long paper to a different venue.
Similarly, authors of rejected long and short papers relevant to the field of AI Engineering may have their papers sent to a different CAIN track. Also in this case, authors may decide to accept or reject the invitation.
Dates
Tracks
Plenary
Sun 14 AprDisplayed time zone: Lisbon change
Sun 14 Apr
Displayed time zone: Lisbon change
09:00 - 10:30 | Opening and KeynoteResearch and Experience Papers at Pequeno Auditório Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute | ||
09:00 30mDay opening | Opening Research and Experience Papers | ||
09:30 60mKeynote | Keynote by Pedro Bizarro - To have great machine learning models in production in harsh environments, first focus on the harsh environments Research and Experience Papers | ||
10:30 - 11:00 | |||
10:30 30mCoffee break | Break ICSE Catering | ||
11:00 - 12:30 | Architecting, Designing, Managing, and Modeling AI-Enabled SystemsIndustry Talks / Research and Experience Papers at Pequeno Auditório Chair(s): Nicolás Cardozo Universidad de los Andes | ||
11:00 10mTalk | A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture 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 15mTalk | Investigating the Impact of Solid Design Principles on Machine Learning Code UnderstandingDistinguished paper Award Candidate 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 10mIndustry talk | KnowING Intelligent Document Classification: A Deep Dive into Microservices and Efficient Models at ING Industry Talks A: Andrew Rutherfoord CWI; University of Groningen, A: Gert Vermeer , Andrea Capiluppi Brunel University | ||
11:35 15mTalk | An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering PerspectiveDistinguished paper Award Candidate Research and Experience Papers Jie JW Wu University of British Columbia (UBC) | ||
11:50 10mIndustry talk | Engineering Challenges in Industrial AI Industry Talks | ||
12:00 10mTalk | Approach for Argumenting Safety on Basis of an Operational Design Domain 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 15mTalk | The Impact of Knowledge Distillation on the Performance and Energy Consumption of NLP Models 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 | ||
12:30 - 14:00 | |||
12:30 90mLunch | Lunch ICSE Catering | ||
15:30 - 16:00 | |||
15:30 30mCoffee break | Break ICSE Catering | ||
16:00 - 18:00 | Generative AI EngineeringIndustry Talks / Research and Experience Papers at Pequeno Auditório Chair(s): Ipek Ozkaya Carnegie Mellon University | ||
16:00 15mTalk | Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes 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 10mTalk | Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective 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 10mIndustry talk | Innovating Translation: Lessons Learned from BWX Generative Language Engine Industry Talks | ||
16:35 15mTalk | Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI AccountabilityDistinguished paper Award Candidate 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 10mLive Q&A | GenAI : Q&A Research and Experience Papers | ||
17:00 60mPanel | Industry Panel Industry Talks | ||
Mon 15 AprDisplayed time zone: Lisbon change
Mon 15 Apr
Displayed time zone: Lisbon change
09:00 - 10:30 | Keynote and PostersPosters / Research and Experience Papers at Pequeno Auditório Chair(s): Jan Bosch Chalmers University of Technology, Henry Muccini University of L'Aquila, Italy | ||
09:00 3mTalk | A Domain Specific Language for Specification of Risk-oriented Object Detection Requirements Posters | ||
09:03 3mTalk | AI Security Continuum: Concept and Challenges Posters | ||
09:06 3mTalk | A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data 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 3mTalk | Automating Patch Set Generation from Code Reviews Using Large Language Models Posters Md Tajmilur Rahman Gannon University | ||
09:12 3mTalk | Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search 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 3mTalk | Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation 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 3mTalk | Can causality accelerate experimentation in software systems? 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 3mTalk | Custom Developer GPT for Ethical AI Solutions Posters Lauren Olson Vrije Universiteit Amsterdam Pre-print | ||
09:24 3mTalk | Evaluation of The Generality of Multi-view Modeling Framework for ML Systems 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 3mTalk | Prompt Smells: An Omen for Undesirable Generative AI Outputs Posters Krishna Ronanki University Of Gothenburg, Beatriz Cabrero-Daniel University of Gothenburg, Christian Berger Chalmers University of Technology, Sweden | ||
09:30 3mTalk | Taxonomy of Generative AI Applications for Risk Assessment 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 55mKeynote | Keynote by Christian Kästner - From Models to Systems: On the Role of Software Engineering for Machine Learning Research and Experience Papers Christian Kästner Carnegie Mellon University | ||
10:30 - 11:00 | |||
10:30 30mCoffee break | Break ICSE Catering | ||
11:00 - 12:30 | Doctoral Symposium and Energy-Aware AI EngineeringDoctoral Symposium / Research and Experience Papers at Pequeno Auditório Chair(s): Justus Bogner Vrije Universiteit Amsterdam, Silverio Martínez-Fernández UPC-BarcelonaTech | ||
11:00 6mTalk | Software Design Decisions for Greener Machine Learning-based Systems Doctoral Symposium Santiago del Rey Universitat Politècnica de Catalunya (UPC) | ||
11:06 6mTalk | Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach Doctoral Symposium | ||
11:12 6mTalk | Optimizing Data Analytics Workflows through User-driven Experimentation Doctoral Symposium Keerthiga Rajenthiram Vrije Universiteit Amsterdam | ||
11:18 6mTalk | Component-based Approach to Software Engineering of Machine Learning-enabled Systems Doctoral Symposium Vladislav Indykov Chalmers | University of Gothenburg | ||
11:24 6mTalk | Threat Modeling of ML-intensive Systems: Research Proposal Doctoral Symposium Felix Viktor Jedrzejewski Blekinge Institute of Technology | ||
11:30 6mTalk | Continuous Quality Assurance ML Pipelines under the AI Act Doctoral Symposium Matthias Wagner Lund University | ||
11:36 10mTalk | Green Runner: A tool for efficient deep learning component selection 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 15mTalk | Engineering Carbon Emission-aware Machine Learning Pipelines Research and Experience Papers | ||
12:01 10mTalk | Identifying architectural design decisions for achieving green ML serving 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 10mTalk | Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures Research and Experience Papers Negar Alizadeh Universiteit Utrecht, Fernando Castor University of Twente and Federal University of Pernambuco | ||
12:21 9mLive Q&A | Energy: Q&A Session Research and Experience Papers | ||
12:30 - 14:00 | |||
12:30 90mLunch | Lunch ICSE Catering | ||
14:00 - 15:30 | |||
14:00 15mTalk | A Combinatorial Testing Approach to Hyperparameter OptimizationDistinguished paper Award Candidate 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 15mTalk | Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs Research and Experience Papers | ||
14:30 10mTalk | LLMs for Test Input Generation for Semantic Applications 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 10mTalk | (Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs 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 10mTalk | Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models 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 10mTalk | ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study 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 20mLive Q&A | Test - Q&A Session Research and Experience Papers | ||
14:00 - 15:30 | |||
14:00 90mOther | Doctoral Symposium - 1 Doctoral Symposium | ||
15:30 - 16:00 | |||
15:30 30mCoffee break | Break ICSE Catering | ||
16:00 - 18:00 | System QualitiesResearch and Experience Papers / Industry Talks at Pequeno Auditório Chair(s): Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge | ||
16:00 10mTalk | Modeling Resilience of Collaborative AI Systems 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 10mTalk | Seven Failure Points When Engineering a Retrieval Augmented Generation System 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 15mTalk | POLARIS: A framework to guide the development of Trustworthy AI systems 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 15mTalk | Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory Research and Experience Papers A: Saeid Tizpaz-Niari University of Texas at El Paso, A: Sriram Sankaranarayanan University of Colorado, Boulder | ||
16:50 15mTalk | Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World 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 15mTalk | Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving Research and Experience Papers Minh-Tri Nguyen Aalto University, Hong-Linh Truong Aalto University, Tram Truong-Huu Singapore Institute of Technology | ||
17:20 10mIndustry talk | Trustworthy AI: Industry-Guided Tooling of the Methods Industry Talks Zakaria Chihani CEA, LIST, France | ||
17:30 15mLive Q&A | System Qualities: Q&A Session Research and Experience Papers | ||
17:45 15mDay closing | Closing Research and Experience Papers Jan Bosch Chalmers University of Technology | ||
16:00 - 18:00 | |||
16:00 2hOther | Doctoral Symposium - 2 Doctoral Symposium | ||
Not scheduled yet
| Not scheduled yet Panel | SA-Q&A Research and Experience Papers |
Papers - Accepted and Awards
Long papers
Engineering Carbon Emission-aware Machine Learning Pipelines
Authors: E. Husom, S. Sen, A. Göknil
POLARIS: A Framework to Guide the Development of Trustworthy AI Systems
Authors: M. Baldassarre, D. Gigante, M. Kalinowski, A. Ragone
Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes
Authors: G. Pinto, C. de Souza, T. Rocha, I. Steinmacher, A. Souza, E. Monteiro
An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective
Authors: J. Wu
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World
Authors: L. Poenaru-Olaru, N. Karpova, L. Cruz, J. Rellermeyer, A. van Deursen
A Combinatorial Approach to Hyperparameter Optimization
Authors: K. Khadka, J. Chandrasekaran, Y. Lei, R. Kacker, D. Kuhn
Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs
Authors: Z. Li, D. Shin
What About the Data? A Mapping Study on Data Engineering for AI Systems
Authors: P. Heck
Investigating the Impact of Solid Design Principles on Machine Learning Code Understanding
Authors: R. Cabral, M. Kalinowski, M. Baldassarre, H. Villamizar, T. Escovedo, H. Lopes
Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability
Authors: B. Xia, Q. Lu, L. Zhu, S. Lee, Y. Liu, Z. Xing
Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality
Authors: G. Recupito, R. Rapacciuolo, D. Di Nucci, F. Palomba
An Exploratory Study of Dataset and Model Management in Open Source Machine Learning Applications
Authors: T. Toma, C. Bezemer
Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving
Authors: M. Nguyen, H. Truong, T. Truong-Huu
Approach for Argumenting Safety on Basis of an Operational Design Domain
Authors: G. Weiss, M. Zeller, H. Schoenhaar, C. Drabek, A. Kreutz
Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory
Authors: S. Tizpaz-Niari, S. Sankaranarayanan
Short Papers
A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
Authors: N. Alizadeh, F. Castor
Seven Failure Points When Engineering a Retrieval Augmented Generation System
Authors: S. Barnett, S. Kurniawan, S. Thudumu, Z. Brannelly, M. Abdelrazek
LLMs for Test Input Generation for Semantic Applications
Authors: Z. Rasool, S. Barnett, D. Willie, S. Kurniawan, S. Balugo, S. Thudumu, M. Abdelrazek
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs
Authors: W. Ma, C. Yang, C. Kästner
Modeling Resilience of Collaborative AI Systems
Authors: D. Rimawi, A. Liotta, M. Todescato, B. Russo
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study
Authors: H. Abdelkader, M. Abdelrazek, S. Barnett, J. Schneider, P. Rani, R. Vasa
DVC in Open Source ML-development: The Action and the Reaction
Authors: L. Pacheco, M. Rahman, F. Rabbi, P. Fathollahzadeh, A. Abdellatif, E. Shihab, T. Chen, J. Yang, Y. Zou
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
Authors: A. Nouri, B. Cabrero-Daniel, F. Torner, H. Sivencrona, C. Berger
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
Authors: Q. Lu, L. Zhu, X. Xu, Y. Liu, Z. Xing, J. Whittle
Green Runner: A Tool for Efficient Deep Learning Component Selection
Authors: J. Kannan, S. Barnett, A. Simmons, T. Selvi, L. Cruz
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
Authors: D. Zhang, B. Zia, Y. Liu, X. Xu, T. Hoang, Z. Xing, M. Staples, Q. Lu, L. Zhu
Identifying Architectural Design Decisions for Achieving Green ML Serving
Authors: F. Durán, S. Martínez-Fernández, M. Martinez, P. Lago
The Impact of Knowledge Distillation on the Energy Consumption and Runtime Efficiency of NLP Models
Authors: Y. Yuan, J. Zhang, Z. Zhang, K. Chen, J. Shi, V. Stoico, I. Malavolta
Important Dates AoE (UTC-12h)
| Sun 28 Jan 2024 Camera Ready |
| Wed 10 Jan 2024 Notifications |
| Mon 20 Nov 2023 Papers (firm; no extensions) |
| Fri 10 Nov 2023 Abstracts (recommended; used for bidding) |
Submission Link
Grace LewisPC Chair
Carnegie Mellon Software Engineering Institute
United States
Henry MucciniPC Chair
University of L'Aquila, Italy
Italy
Ankit Agrawal
Saint Louis University, Missouri
United States
Wesley Assunção
North Carolina State University
United States
Earl T. Barr
University College London
United Kingdom
Sven Bauer
Siemens Healthineers
Germany
Nelly Bencomo
Durham University
United Kingdom
Amel Bennaceur
The Open University, UK
United Kingdom
Justus Bogner
Vrije Universiteit Amsterdam
Netherlands
Jan Bosch
Chalmers University of Technology
Sweden
Lionel Briand
University of Ottawa, Canada; Lero centre, University of Limerick, Ireland
Canada
Javier Camara
University of Málaga
Spain
Nicolás Cardozo
Universidad de los Andes
Colombia
Wing-Kwong Chan
City University of Hong Kong
China
Jaganmohan Chandrasekaran
Virginia Tech
United States
Shing-Chi Cheung
Hong Kong University of Science and Technology
China
Morakot Choetkiertikul
Mahidol University, Thailand
Thailand
Davide Dell'Anna
Utrecht University
Netherlands
Ivana Dusparic
Trinity College Dublin, Ireland
Robert Edman
Carnegie Mellon Software Engineering Institute
United States
Michael Felderer
German Aerospace Center (DLR) & University of Cologne
Germany
Xavier Franch
Universitat Politècnica de Catalunya
Spain
Smita Ghaisas
TCS Research
India
Ian Gorton
Northeastern University – Seattle, USA
United States
Muhammad Ali Gulzar
Virginia Tech
United States
Andrew Habib
ABB Corporate Research, Germany
Germany
Rachel Harrison
Oxford Brookes University
United Kingdom
Petra Heck
Fontys University of Applied Sciences
Netherlands
Hans-Martin Heyn
University of Gothenburg & Chalmers University of Technology
Sweden
Helena Holmström Olsson
Malmö University
Sweden
David Issa Mattos
Volvo Cars
Sweden
Marcos Kalinowski
Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
Brazil
Eric Knauss
Chalmers | University of Gothenburg
Sweden
Rrezarta Krasniqi
University of North Texas
United States
Thomas Kropf
Robert Bosch GmbH and University of Tuebingen
Germany
Christian Kästner
Carnegie Mellon University
Sebastien Lafond
Åbo Akademi University
Finland
Filippo Lanubile
University of Bari
Italy
Heng Li
Polytechnique Montréal
Canada
Ravi Mangal
Carnegie Mellon University
United States
Silverio Martínez-Fernández
UPC-BarcelonaTech
Spain
Tim Menzies
North Carolina State University
United States
Andreas Metzger
University of Duisburg-Essen
Germany
Tommi Mikkonen
University of Jyvaskyla
Finland
Tien N. Nguyen
University of Texas at Dallas
United States
Ipek Ozkaya
Carnegie Mellon University
United States
Andrei Paleyes
Department of Computer Science and Technology, Univesity of Cambridge
United Kingdom
Mike Papadakis
University of Luxembourg
Luxembourg
Hung Viet Pham
York University
Canada
Marie Platenius-Mohr
ABB Corporate Research
Germany
Profir-Petru Pârțachi
National Institute of Informatics, Japan
Japan
Corina S. Păsăreanu
Carnegie Mellon University
United States
Luigi Quaranta
University of Bari, Italy
Italy
Chaiyong Ragkhitwetsagul
Mahidol University, Thailand
Thailand
Mona Rahimi
Northern Illinois University
United States
Raghu Reddy
IIIT Hyderabad
India
Bradley Schmerl
Carnegie Mellon University, USA
United States
Alex Serban
Siemens Healthineers and University Transilvania of Brasov
Romania
Norbert Siegmund
Leipzig University
Germany
Romina Spalazzese
Malmö University
Sweden
Karthik Vaidhyanathan
IIIT Hyderabad
India
Jingbo Wang
University of Southern California
United States
Song Wang
York University
Canada
Bowen Xu
North Carolina State University
United States
Marc Zeller
Siemens AG
Germany
Tianyi Zhang
Purdue University
United States
Xiangyu Zhang
Purdue University
United States
Liming Zhu
CSIRO’s Data61
Australia
Roshanak Zilouchian Moghaddam
Microsoft
United States
Thomas Zimmermann
Microsoft Research