Mon 15 MayDisplayed time zone: Hobart change
09:00 - 10:30 | SEAMS 2023 Opening & Keynote 1Research Track / Artifact Track at Meeting Room 105 Chair(s): Radu Calinescu University of York, UK, Pooyan Jamshidi University of South Carolina, Raffaela Mirandola Politecnico di Milano | ||
09:00 30mTalk | SEAMS Opening Research Track | ||
09:30 60mKeynote | Human-centric (Self-Adaptive) Software Engineering Research Track John Grundy Monash University |
13:45 - 15:15 | Session 2: Digital twins and non-functional propertiesResearch Track / Artifact Track at Meeting Room 105 Chair(s): Sona Ghahremani Hasso Plattner Institute, University of Potsdam | ||
13:45 25mPaper | Dynamic Runtime Integration of New Models in Digital Twins Research Track | ||
14:10 25mPaper | Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators Research Track Farid Edrisi Linnaeus University, Diego Pérez Linnaeus University, Mauro Caporuscio Linnaeus University, Samuele Giussani Linnaeus University | ||
14:35 25mPaper | Towards a Robust On-line Performance Model Identification for Change Impact Prediction Research Track | ||
15:00 15mShort-paper | Adaptively Managing Reliability of Machine Learning Perception under Changing Operating Conditions Research Track |
15:45 - 17:15 | Session 3: Community DebateResearch Track / Artifact Track at Meeting Room 105 Chair(s): Jon Whittle CSIRO's Data61 and Monash University | ||
15:45 90mPanel | Are the solutions developed by the self-adaptive systems community mature enough for industrial adoption? Research Track |
17:30 - 19:00 | |||
17:30 90mMeeting | SEAMS SC Meeting Research Track |
19:00 - 22:00 | SEAMS BanquetResearch Track / Artifact Track at Offsite Banquet at BoHo South Wharf: https://thebohemian.com.au/ | ||
19:00 3hDinner | SEAMS Banquet Research Track |
Tue 16 MayDisplayed time zone: Hobart change
09:00 - 10:30 | Keynote 2 & Session 4: Self-optimization and self-evolutionResearch Track / Artifact Track at Meeting Room 105 Chair(s): Radu Calinescu University of York, UK, Myra Cohen Iowa State University, Pooyan Jamshidi University of South Carolina | ||
09:00 60mKeynote | SE4LESAS: Software Engineering for Learning-Enabled Self-Adaptive Systems Research Track Betty H.C. Cheng Michigan State University | ||
10:00 15mShort-paper | From Self-Adaptation to Self-Evolution Research Track Pre-print | ||
10:15 15mShort-paper | Self-Optimizing Agents Using Mixed Initiative Behavior Trees Research Track |
11:00 - 12:30 | Session 5: Runtime decision-making and human in the loopResearch Track / Artifact Track at Meeting Room 105 Chair(s): Amel Bennaceur The Open University, UK | ||
11:00 25mPaper | Runtime Verification of Self-Adaptive Systems with Changing Requirements Research Track Marc Carwehl Humboldt-Universität zu Berlin, Thomas Vogel Humboldt-Universtität zu Berlin, Genaína Nunes Rodrigues University of Brasília, Lars Grunske Humboldt-Universität zu Berlin Pre-print | ||
11:25 25mPaper | Runtime Resolution of Feature Interactions through Adaptive Requirement Weakening Research Track Simon Chu , Emma Shedden , Changjian Zhang Carnegie Mellon University, Rômulo Meira-Góes Carnegie Mellon University, Gabriel A. Moreno Carnegie Mellon University Software Engineering Institute, David Garlan Carnegie Mellon University, Eunsuk Kang Carnegie Mellon University Pre-print | ||
11:50 15mShort-paper | Architecture-based Uncertainty Impact Analysis to ensure Confidentiality Research Track Sebastian Hahner Karlsruhe Institute of Technology (KIT), Robert Heinrich Karlsruhe Institute of Technology (KIT), Ralf Reussner Karlsruhe Institute of Technology (KIT) and FZI - Research Center for Information Technology (FZI) | ||
12:05 25mPaper | Preference Adaptation: user satisfaction is all you need! Research Track NIANYU LI Peking University, China, Mingyue Zhang Peking University, China, Jialong Li Waseda University, Japan, Eunsuk Kang Carnegie Mellon University, Kenji Tei Waseda University Pre-print |
15:45 - 17:15 | Session 7: Frameworks for self-adaptive systems & SEAMS 2023 ClosingResearch Track / Artifact Track at Meeting Room 105 Chair(s): Luciano Baresi Politecnico di Milano, Danny Weyns KU Leuven, Rogério de Lemos University of Kent, UK | ||
15:45 15mPaper | Artifact: Implementation of an Adaptive Flow Management Framework for IoT Spaces Artifact Track Houssam Hajj Hassan SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, Georgios Bouloukakis SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, Ajay Kattepur , Denis Conan SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, Djamel Belaïd | ||
16:00 15mPaper | CHESS: A Framework for Evaluation of Self-adaptive Systems based on Chaos Engineering Artifact Track Sehrish Malik Simula Research Laboratory, Syed Moeen Ali Naqvi Simula Research Laboratory and University of Oslo, Leon Moonen Simula Research Laboratory and BI Norwegian Business School Pre-print Media Attached | ||
16:15 15mShort-paper | A Distributed MAPE-K Framework for Self-Protective IoT Devices Research Track Michael Riegler Johannes Kepler University Linz, Johannes Sametinger , Michael Vierhauser Johannes Kepler University Linz | ||
16:30 30mAwards | SEAMS Most Influential Paper Awards 2012 and 2013 Research Track | ||
17:00 15mAwards | SEAMS 2023 Best Paper Awards, SEAMS 2024 Presentation, Closing Remarks Research Track |
Accepted Papers
Call for Artifacts
SEAMS 2023 continues to encourage its community members to build dedicated artifacts that support driving, communicating, comparing, and evaluating their research on software engineering for adaptive and self-managing systems. In this spirit, the SEAMS 2023 artifacts track exists to review, promote, share, and catalog research artifacts that bring value to the community.
NOTE: While this call is about dedicated artifacts, we also encourage authors to submit artifacts used for their long research papers to SEAMS 2023. Although the two submissions are independent (i.e., the artifact has its own artifact paper), if both are accepted, the badges awarded to the artifact paper will be awarded to the research paper too.
Types of Artifacts
According to ACM’s "Artifact Review and Badging (Version 1.1)” policy, an artifact is “a digital object that was either created by the authors to be used as part of the study or generated by the experiment itself. For example, artifacts can be software systems, scripts used to run experiments, input datasets, raw data collected in the experiment, or scripts used to analyze results.” A formal review of such artifacts promotes artifacts of high quality that promotes reproducibility and replicability of research results and that drive the research of the whole SEAMS community. Hence, artifacts of interest for SEAMS include but are not limited to:
- Testbeds / Exemplars, which are implementations or detailed specifications of systems that pose and highlight fundamental or characteristic challenges in this community, and that self-adaptive systems should address.
- Datasets, which are data (e.g., logging data, sensor data, system traces, survey raw data) that can be used to develop, evaluate, and compare self-adaptation approaches.
- Frameworks, which are tools and services illustrating and implementing self-adaptation techniques or algorithms that are potentially useful in different contexts and that other researchers could use and customize to specific contexts.
Thus, frameworks primarily support developing self-adaptation approaches whereas testbeds / exemplars and datasets particularly support evaluating and comparing different approaches. However, this list is not exhaustive. If your proposed artifact is not on this list, please email the Artifacts Chairs before submitting.
Quality of Artifacts
According to the ACM’s "Artifact Review and Badging (Version 1.1)” policy, SEAMS aims for artifacts that are available and reusable so that other researchers can access and built upon the artifacts to drive research in the overall SEAMS community. Thus, artifacts have to be made permanently available—latest after acceptance and before publication of the artifact—using publisher repositories (ACM or IEEE), institutional repositories, or open (commercial) repositories (e.g., figshare, Zenodo, or GitHub/Zenodo) that provide permanent and unique identifiers for the artifacts. Personal web pages are not acceptable for this purpose. Moreover, artifacts should be reusable by other researchers. To facilitate reuse, they should be carefully documented, well-structured, complete, exercisable, as well as appropriately verified and validated (e.g., use of the artifact in a study).
Important Dates
- Abstract deadline (firm): 25 January 2023
- Papers submission due (firm): 1 February 2023
- Notification of decision: 8 March 2023
- Camera-ready version due: 24 March 2023
For detailed information on how to submit artifacts to SEAMS 2023, please see the Submission tab.
Review Process and Selection Criteria
All submitted artifacts will be reviewed by at least three members of the program committee. Each artifact will be evaluated in relation to the expectations set by the artifact paper. In addition to just running the artifact, the evaluators will read the paper and may try to tweak provided inputs and create new ones, to test the limits of the system.
Artifacts will be evaluated using the following criteria:
- Community value: Does the artifact bring value to the SEAMS community? Is this value clearly explained in the paper? Can the artifact be readily used by other researchers?
- Insightfulness: Does the artifact address or identify a gap in previous work?
- Timeliness: Does the artifact address a problem that is timely?
- Usability: Is it complete and easy to understand? Is it carefully documented and well-structured? Is it accompanied by tutorial notes? and other documentation? Is it exercisable? If the artifact is executable, is it easy to download, install, and execute? Has it been validated? Is it functional? Is it reusable?
Submission
SUBMISSION LINK: Abstracts and papers must be submitted via EasyChair: https://easychair.org/conferences/?conf=seams2023
Submission includes an artifact paper and the artifact itself. The paper should be submitted via EasyChair (link to appear). The paper should provide a link from where the reviewers can access and download the artifact (it does not need to be a link to the permanent repository at this stage). Artifacts must not have been previously published or concurrently submitted elsewhere.
Artifact Paper
An artifact paper is of max 6 pages + 1 page references
. It should include a synopsis or description of the problem that is being addressed, a description of the context(s) in which the artifact would be useful, a list of the challenges that it poses for self-adaptation, the link to the artifact, and examples of its use in at least one area of self-adaptive systems. Accepted artifact papers will be included in the proceedings, and authors will be given an opportunity to present their artifact at SEAMS 2023.
Artifact papers must conform to the IEEE formatting instructions IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt type, LaTeX users must use \documentclass[10pt,conference]{IEEEtran}
without including the compsoc or compsocconf options).
There will be a best artifact award recognizing the work of authors who contribute the most useful artifact to the community. Moreover, we will do our best to work with the IEEE Xplore and ACM Portal administrator to add badges to the electronic versions of the authors’ paper(s).
Artifact
Authors must perform the following steps to submit an artifact:
Packaging the Artifact
When packaging your artifact, it is important to keep in mind: a) how accessible the artifact is to other researchers, and b) the fact that the artifact evaluators have very limited time to assess each artifact. The setup for your artifact should take less than 30 minutes or it is unlikely to be endorsed simply because the committee will not have sufficient time to evaluate it. If you envision difficulties, please provide your artifact with a working environment in a VirtualBox VM image or a Docker container image so that the artifact can be run and exercised. Otherwise, the artifact can be packaged in a single archive file (zip or tar.gz) or its code base can be provided by a public repository. In either case, the artifact should be exercisable and appropriately validated.
Documenting the Artifact
To facilitate reuse, an artifact should be complete and carefully documented. Therefore, it must:
- be self-contained, that is, it contains the artifact itself, which may include source code, executables, data, a virtual machine image, documents and other content deemed relevant by the authors. Please use open formats for documents (e.g., csv for data). Publicly available external tools or libraries used to exercise and use the artifact do not have to be included in the artifact;
- include documentation that describes the artifact. It is acceptable to refer to the artifact paper for a more detailed description of the artifact. The entry point to the documentation should be easy to identify (e.g., README.md or index.html file in the top-level directory of the artifact). The documentation should contain:
- a Getting Started section that should stress the key elements of your artifact and that should enable the reviewers to run, execute or analyze your artifact without any technical difficulty. In this context, requirements and side effects of running the artifact should be discussed.
- step-by-step instructions on how to download, install, run, and “play” the artifact, and how to check the results of the execution. These instructions should both show how you propose to evaluate your artifact, and be useful for a new user of your artifact to get started.
- where appropriate, descriptions of and links to files (included in the archive or generated by executing the artifact) that represent expected outputs (e.g., the log files expected to be generated by the artifact on the given inputs).
- if applicable, descriptions of how the artifact can be customized and extended to be reused in a different research context of self-adaptive systems.
- include a license file or statement describing the distribution rights. Note that a reusable artifact requires some kind of open source license.
Optionally, the authors are encouraged to include in the documentation a link to a short video (YouTube, max. 5 minutes) demonstrating the artifact.
Making the Artifact Available
Regardless of the packaging, the artifact should be made available to the artifact reviewers through a link to a public repository (e.g., GitHub) or to a single archive file.
Artifacts accepted to the SEAMS 2023 program have to be made permanently available to the public by the time the camera ready version of the paper is due. This must be done using an archival repository such as publisher repositories at ACM or IEEE, institutional repositories, or open (commercial) repositories such as figshare and Zenodo. For instance, Zenodo supports archiving snapshots of GitHub repositories and provides DOIs for such snapshots.