CAIN 2023
Mon 15 - Sat 20 May 2023 Melbourne, Australia
co-located with ICSE 2023
Mon 15 May 2023 20:57 - 21:03 at Virtual - Zoom for CAIN - Poster - Online Chair(s): Mona Rahimi, Karthik Vaidhyanathan
Sat 20 May 2023 15:12 - 15:18 at Meeting Room 105 - Onsite - Poster

Technical Debt (TD) is the implied cost of additional rework caused by choosing easier solutions in favour of shorter release time. It impacts software maintainability and evolvability, manifesting as different types (e.g., Code, Test, Architecture). Algorithm Debt (AD) is a new TD type recently identified as sub-optimal implementations of algorithm logic in scientific and Artificial Intelligence (AI) software. Given its newness, AD and its impact on AI-driven software remains a research gap. This poster aims to motivate reflective discussion on AD in AI software, by summarising findings, discussing its possible impact, and outlining future areas of work.

Mon 15 May

Displayed time zone: Hobart change

20:45 - 22:15
Poster - OnlinePosters / Papers at Virtual - Zoom for CAIN
Chair(s): Mona Rahimi Northern Illinois University, Karthik Vaidhyanathan IIIT Hyderabad

Click here to Join us over zoom

Click Here to watch the session recording on YouTube

20:45
6m
Poster
AI Living Lab: Quality Assurance for AI-based Health systems
Posters
Valentina Lenarduzzi University of Oulu, Minna Isomursu University of Oulu
20:51
6m
Poster
AI Planning Software Development Lifecycle
Posters
Ilche Georgievski University of Stuttgart, Germany
File Attached
20:57
6m
Poster
Algorithm Debt: Challenges and Future Paths
Posters
Emmanuel Iko-Ojo Simon Australian National University, Melina Vidoni Australian National University, Fatemeh Hendijani Fard University of British Columbia
21:03
6m
Poster
Enabling Machine Learning in Software Architecture Frameworks
Posters
Armin Moin University of California, Santa Barbara, Atta Badii University of Reading, United Kingdom, Stephan G¨unnemann School of Computation, Information and Technology, Technical University of Munich, Munich, Germany, Moharram Challenger University of Antwerp
DOI Pre-print
21:09
6m
Poster
Extensible Modeling Framework for Reliable Machine Learning System Analysis
Posters
Jati Hiliamsyah Husen Waseda University, Hironori Washizaki Waseda University, Hnin Thandar Tun Waseda University, Japan, Nobukazu Yoshioka Waseda University, Japan, Yoshiaki Fukazawa Waseda University, Hironori Takeuchi Musashi University, Hiroshi Tanaka Fujitsu Limited, Tokyo, Japan, Kazuki Munakata Fujitsu Limited, Tokyo, Japan
21:15
6m
Poster
How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems
Posters
Iva Krasteva Sofia University, GATE Institute, Boris Kraychev GATE Institute, Ensiye Kiyamousavi GATE Institute
21:21
6m
Poster
Maintaining and Monitoring AIOps Models Against Concept Drift
Posters
Lorena Poenaru-Olaru TU Delft, Luís Cruz Delft University of Technology, Jan S. Rellermeyer Leibniz University Hannover, Arie van Deursen Delft University of Technology
21:27
6m
Poster
Reproducibility Requires Consolidated Artifacts
Posters
Iordanis Fostiropoulos University of Southern California, USA, Bowman Brown University of Southern California, USA, Laurent Itti University of Southern California, USA
21:33
6m
Poster
Tenet: A Flexible Framework for Machine Learning-based Vulnerability Detection
Posters
Eduard Costel Pinconschi Instituto Superior Técnico, University of Lisboa & INESC-ID, Sofia Reis Instituto Superior Técnico, U. Lisboa & INESC-ID, Chi Zhang , Rui Abreu Faculty of Engineering, University of Porto, Hakan Erdogmus Carnegie Mellon University, Limin Jia Carnegie Mellon University
21:39
6m
Poster
Towards Understanding Machine Learning Testing in Practise
Posters
Arumoy Shome Delft University of Technology, Luís Cruz Delft University of Technology, Arie van Deursen Delft University of Technology
Pre-print
21:45
30m
Break
Break Out Session - Online
Papers

Sat 20 May

Displayed time zone: Hobart change

15:00 - 15:30
Onsite - PosterPosters at Meeting Room 105
15:00
6m
Poster
Maintaining and Monitoring AIOps Models Against Concept Drift
Posters
Lorena Poenaru-Olaru TU Delft, Luís Cruz Delft University of Technology, Jan S. Rellermeyer Leibniz University Hannover, Arie van Deursen Delft University of Technology
15:06
6m
Poster
Towards Understanding Machine Learning Testing in Practise
Posters
Arumoy Shome Delft University of Technology, Luís Cruz Delft University of Technology, Arie van Deursen Delft University of Technology
Pre-print
15:12
6m
Poster
Algorithm Debt: Challenges and Future Paths
Posters
Emmanuel Iko-Ojo Simon Australian National University, Melina Vidoni Australian National University, Fatemeh Hendijani Fard University of British Columbia
15:18
6m
Poster
Extensible Modeling Framework for Reliable Machine Learning System Analysis
Posters
Jati Hiliamsyah Husen Waseda University, Hironori Washizaki Waseda University, Hnin Thandar Tun Waseda University, Japan, Nobukazu Yoshioka Waseda University, Japan, Yoshiaki Fukazawa Waseda University, Hironori Takeuchi Musashi University, Hiroshi Tanaka Fujitsu Limited, Tokyo, Japan, Kazuki Munakata Fujitsu Limited, Tokyo, Japan
15:24
6m
Poster
AI Living Lab: Quality Assurance for AI-based Health systems
Posters
Valentina Lenarduzzi University of Oulu, Minna Isomursu University of Oulu