Call for Papers
The increasing usage of machine learning (ML) coupled with the software architectural challenges of the modern era has given rise to two broad research challenges: i) Software architecture (SA) for ML-based systems and ii) ML techniques for (better) architecting any software system. In recent times, both the research and practitioner community have started exploring these research areas at the intersection of SA and ML. As a result, there have been emerging contributions from the scientific and practitioner community in these two research areas. However, these contributions are scattered across different communities of software engineering, self-adaptation, ML, etc. The goal of SAML 2021 is to bring together practitioners and the research community in one common platform to explore: i) how to come up with better SA practices for architecting ML-based systems; ii) how to leverage ML techniques to better architect software systems; iii) state of research and practice in architecting ML-based systems and in using ML techniques for architecting modern software systems. Further, SAML 2021 shall also provide a common forum to bring together both practitioners and researchers of SA and ML communities to identify and fill the research gaps that can benefit both communities. SAML 2021 seeks contributions in the form of full research papers, industry experience reports and short papers in topics including but not limited to:
- Architecture design, analysis and evaluation of ML-based systems
- Architecture frameworks, patterns and models for ML-based systems
- Integration of ML development process and software development processes
- Use of ML/AI for Architecting practices
- Architecting Self-adaptive systems using ML/AI
- Role of software architect in architecting ML-based systems
- Software Architecture and MLOps practices
- Quality conformance of ML-based systems
- Architecture and Technical Debt in ML-based systems
- Maintenance and Managing evolution of/in ML-based systems
- Case studies and experience reports
- Social and Organizational aspects of architecting ML-based software systems
- Architecting ML/data pipelines
Important Dates
Submissions Deadline
July 02, 2021
Acceptance Notification
July 22, 2021
Camera Ready
July 29, 2021
Workshop
September 14, 2021
Note: All deadlines are 23:59h AoE (Anywhere on Earth).
Submissions
Types of Contributions
- Regular full papers (including industry experience papers), which should not exceed 10 pages including all text, references, appendices, and figures
- Short papers (including experience papers), which should not exceed 9 pages (at least 5 pages) including all text, references, appendices, and figures
- Position papers with expressed interest, 1 page
Proceedings
The accepted regular and short papers will be published in a CEUR volume. Revised and extended version of selected papers will be published in post-proceedings (Springer LNCS). The position papers will be published in the SAML 2021 web page. At least one author of each accepted paper should register for the conference and participate in the workshop.
Committee
Organizing Committee
- Karthik Vaidhyanathan University of L'Aquila, Italy
- Henry Muccini University Of L'Aquila, Italy
- Ivica Crnkovic Chalmers University of Technology, Sweden
- Michael Keeling LendingHome, United States
- Ipek Ozkaya Carnegie Mellon University, United States
Program Committee
- Aishwarya Asesh Adobe, USA
- Jan Bosch Chalmers University of Technology, Sweden
- Tomas Bures Charles University, Czech Republic
- Ilias Gerostathopoulos Vrije University, Netherlands
- Ian Gorton Northeastern University, United States
- Helena Holmström Olsson Malmö University, Sweden
- Grace Lewis Carnegie Mellon University, United States
- David Lo Singapore Management University, Singapore
- Lucy Ellen Lwakatare University of Helsinki, Finland
- Tommi Mikkonen University of Helsinki, Finland
- Jørn Ølmheim Equinor ASA, Norway
- Romina Spalazzese Malmö University, Sweden
Program
Time (CEST) | Event | Speaker(s)/Author(s) | Session Chair(s) |
---|---|---|---|
15:00 - 15:20 | Welcome and Opening | SAML 2021 Organizing Committee | |
15:20 - 16:20 | Keynote: Distributed Trust Architecture - The New Reality of ML-based Systems | Liming Zhu | Henry Muccini |
16:20 - 16:40 | Coffee Break | ||
16:40 - 17:00 | Mapping Program Elements to Layers using Centrality Measures and Machine Learning Techniques | Sanjay Thakare and Arvind Kiwelekar | Michael Keeling |
17:00 - 17:20 | Developing a Software Reference Architecture for Journalistic Knowledge Platforms | Marc Gallofré Ocaña and Andreas L Opdahl | Michael Keeling |
17:20 - 17:40 | A Microservices Architecture for Machine Learning Assisted Decision Support in a Real-Time Field Sensors Environment | Giovanni De Gasperis, Giuseppe Della Penna and Sante Dino Facchini | Michael Keeling |
17:40 - 18:00 | Coffee break | ||
18:00 - 19:00 | SAML 2021 Panel: Productive Partnerships in Architecting ML Systems | Jan Bosch, Timothy J. Halloran, Grace Lewis, Anastas Stoyanovsky | Ipek Ozkaya and Karthik Vaidhyanathan |
19:00 - 19:20 | Self-Adaptation for Machine Learning Based Systems | Maria Casimiro, Paolo Romano, David Garlan, Gabriel A. Moreno, Eunsuk Kang and Mark Klein | Ivica Crnkovic |
19:20 - 19:35 | The extra mile to take: Technical Debt solutions for Industrial ML
Download Position Paper |
Hadil Abukwaik, Benjamin Kloepper, Reuben Borrison and Shrikant Bhat | Ivica Crnkovic |
19:35 - 19:50 | Closing Remarks | SAML 2021 Organizing Committee |
Instructions for the Participants
We will be using an online platform, Whova for our event. Inside of Whova:
- you will have access to all sessions and materials
- meet other attendees
- be able to ask questions during live sessions.
Contact
Location:
Via Vetoio, Copitto
L'Aquila, Italy 67100
Email:
henry.muccini@univaq.it
karthik.vaidhyanathan@univaq.it
Call:
+39 0862433721