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14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019)

Montreal, Canada | May 25 - 26, 2019 |

colocated with ICSE 2019

Important Dates AoE (UTC-12h)

  • Fri 18 Jan 2019 - Abstract submission
  • Mon 28 Jan 2019 - Paper submission
  • Fri 1 Mar 2019 - Notification
  • Fri 15 Mar 2019 - Camera Ready
  • Sat 25 - Sun 26 May 2019 - Conference

The objective of SEAMS is to bring together researchers and practitioners from diverse areas to investigate, discuss, and examine the fundamental principles, the state of the art, and critical challenges of engineering self-adaptive and self-managing systems.

Modern and emerging software systems, such as industrial Internet of Things, Cyber-Physical Systems, cloud and edge computing, robotics, and smart environments have to operate without interruption. Self-adaptation and self-management enable these systems to adapt themselves at runtime to preserve and optimize their operation in the presence of uncertain changes in their operating environment, resource variability, new user needs, attacks, intrusions, and faults. Approaches to complement software-based systems with self-managing and self-adaptive capabilities are an important area of research and development, offering solutions that leverage advances in fields such as software architecture, fault-tolerant computing, programming languages, run-time program analysis and verification, among others. Additionally, research in this field is informed by related areas such as control systems, machine learning, artificial intelligence, agent-based systems, and biologically inspired computing. The SEAMS symposium focuses on applying software engineering to these approaches, including methods, techniques, processes and tools that can be used to support self-* properties like self-protection, self-healing, self-optimization, and self-configuration.

Topics of Interest:

All topics related to engineering self-adaptive and self-managing systems, including:

Foundational Concepts

  • Self-* properties
  • Understanding and taming uncertainty
  • Runtime models and variability
  • Consistent change of systems in operation
  • Mixed-initiative and human-in-the-loop systems
  • Situational awareness

Engineering Strategies

  • Architecture and model-driven approaches
  • Control theory
  • Online analysis and planning
  • Automatic synthesis techniques
  • AI techniques (e.g. machine learning, game theory, ...)
  • Search-based techniques and learning

Engineering Activities

  • Domain/environment analysis techniques
  • Requirements elicitation techniques
  • Architecture and design techniques
  • Systematic reuse (e.g., patterns, viewpoints, reference architectures, code)
  • Instrumentation of legacy systems (probing and effecting)
  • Processes and methodologies
  • DevOps

Analytical Methods

  • Runtime decision-making (multi-objective, multi-layered, distributed)
  • Analysis and testing frameworks
  • Verification and validation
  • Simulation


  • Formal notations for modeling and analyzing self-* properties
  • Domain-specific language support for self-adaptation
  • Programming language support for self-adaptation

Application Areas

  • Industrial internet of things
  • Autonomous vehicles
  • Cyber-physical systems
  • Cloud and edge computing
  • Robotics
  • Smart environments
  • Smart user interfaces
  • Security and privacy
  • Artifacts & Evaluation

Model problems and exemplars

  • Resources including data sets, metrics, and software useful to compare self-adaptive approaches
  • Real-world demonstrators
  • Controlled experiments, case studies, replication studies, surveys

Types of Paper
SEAMS 2019 solicits different types of papers:

  • Long papers (10 pages main text, inclusive of figures, tables, appendices, etc.; plus references up to two additional pages). Long papers should: (1) clearly describe innovative and original research, or (2) report a survey on a research topic in the field.
  • New Ideas and Emergent Results (NIER) papers (6 pages + 1 page references). NIER papers should describe novel and promising ideas and/or techniques that are in an early stage of development. To that end, NIER papers will be reviewed with dedicated review guidelines.
  • Industrial and experience papers (4 pages + 1 page references). An industrial and experience paper should describe the experiences gained from applying/evaluating engineering techniques of the field for real settings in practice. It is encouraged that the partners from practice join the effort as co-authors and that the paper reflects if possible the perspective of both sides. The papers should emphasize the value for the community, in particular, the lessons learned due to the transfer of research results to practice.

Artifact papers (6 pages + 1 page references if standalone). Artifacts describe model problems, exemplars, or useful sets of resources for the broader SEAMS community. This year we solicit artifacts in two modalities: associated with a research paper and standalone. In the research paper modality, the artifact complements a long research paper and does not require a separate paper submission, the authors need to complete the self-assessment and attach their paper to the submission. The standalone modality requires the submission of an artifact paper (6 pages + 1 page references) in addition to a self-assessment form. The authors of accepted artifacts will have an ACM Artifact badge attached to their paper and given extra time to present it at SEAMS.

Doctoral project papers (4 pages + 1 page references). A doctoral project paper should describe the dissertation research of a PhD student in the field of self-adaptive and self-managing systems. This paper has to be authored by the student only. A suggestion for structuring the paper is as follows:

  • The problem to be solved in your thesis (justify why this problem is important and make clear that previous research has not yet solved that problem).
  • Your research hypothesis (claim).
  • The expected contributions of your dissertation research.
  • How you plan to evaluate your results and to present credible evidence of your results to the community.
  • A description of the results achieved so far and a planned timeline for completion.
  • Students of accepted papers will present their research during SEAMS and receive personalized and specific feedback on their research plan. Students will also have the opportunity to further engage with the audience during a poster session. Instructions for formatting posters will be provided after the notification. We encourage submissions from PhD students at any stage of their research.

AI and Adaptivity (2 pages including references). SEAMS 2019 will orchestrate a panel session devoted to "artificial intelligence and adaptivity." Interested authors are invited to submit an extended abstract in which they provide arguments either in favor or against the statement "adaptivity is a core property of intelligent systems".

Download the Call for Papers from here.