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ICSE 2023
Sun 14 - Sat 20 May 2023 Melbourne, Australia
Wed 17 May 2023 14:45 - 15:00 at Meeting Room 102 - Software architectures and design Chair(s): Davide Taibi

Deploying machine learning models to production is challenging, partially due to the misalignment between software engineering and machine learning disciplines but also due to potential practitioner knowledge gaps. To reduce this gap and guide decision-making, we conducted a qualitative investigation into the technical challenges faced by practitioners based on studying the grey literature and applying the Straussian Grounded Theory research method. We modelled current practices in machine learning, resulting in a UML-based architectural design decision model based on current practitioner understanding of the domain and a subset of the decision space and identified seven architectural design decisions, various relations between them, twenty-six decision options and forty-four decision drivers in thirty-five sources. Our results intend to help bridge the gap between science and practice, increase understanding of how practitioners approach deployment of their solutions, and support practitioners in their decision-making.

Wed 17 May

Displayed time zone: Hobart change

13:45 - 15:15
13:45
15m
Talk
Robustification of Behavioral Designs against Environmental Deviations
Technical Track
Changjian Zhang Carnegie Mellon University, Tarang Saluja Swarthmore College, Rômulo Meira-Góes Carnegie Mellon University, Matthew Bolton University of Virginia, David Garlan Carnegie Mellon University, Eunsuk Kang Carnegie Mellon University
Pre-print
14:00
15m
Talk
A Qualitative Study on the Implementation Design Decisions of DevelopersDistinguished Paper Award
Technical Track
Jenny T. Liang Carnegie Mellon University, Maryam Arab George Mason University, Minhyuk Ko Virginia Tech, Amy Ko University of Washington, Thomas LaToza George Mason University
Pre-print
14:15
15m
Talk
Designing for Real People: Teaching Agility through User-Centric Service Design
SEET - Software Engineering Education and Training
Robert Chatley Imperial College London, Tony Field Imperial College London, Mark Wheelhouse Imperial College London, Carolyn Runcie Royal College of Art, Nick de Leon Royal College of Art, Clive Grinyer Royal College of Art
Pre-print
14:30
15m
Talk
A Decision Model for Choosing Patterns in Blockchain-Based Applications
Showcase
Xiwei (Sherry) Xu CSIRO’s Data61, ‪H M N Dilum Bandara Data61, CSIRO, Qinghua Lu CSIRO’s Data61, Ingo Weber TU Munich & Fraunhofer, Munich, Len Bass Carnegie Mellon University, Liming Zhu CSIRO’s Data61
14:45
15m
Talk
Architectural Design Decisions for Machine Learning Deployment
Showcase
Stephen John Warnett University of Vienna, Uwe Zdun University of Vienna
15:00
7m
Talk
Handling Communication via APIs for Microservices
NIER - New Ideas and Emerging Results
Vini Kanvar IBM Research, Ridhi Jain IIIT-Delhi, Srikanth Tamilselvam IBM Research
15:07
7m
Talk
Open Design Case Study - A Crowdsourcing Effort to Curate Software Design Case Studies
SEET - Software Engineering Education and Training
Chun Yong Chong Monash University Malaysia, Eunsuk Kang Carnegie Mellon University, Mary Shaw Carnegie Mellon University
Pre-print