# SEAMS 2019 - Call for Papers The 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Montreal, Canada, May 25-26, 2019 https://conf.researchr.org/home/seams-2019 Co-located with the 41st International Conference on Software Engineering (ICSE 2019)
___ IMPORTANT DATES * Abstract Submission: 11 January 2019 (AoE) * Paper Submission: 18 January 2019 (AoE) * Notification: 1 March 2019 * Camera Ready: 15 March 2019 ___ Follow SEAMS 2019 - Facebook: https://www.facebook.com/SEAMSconf - Twitter: https://twitter.com/SEAMSconf ___ Scope 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. 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. ___ 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 Languages * 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”. ___ Paper Submission Details and Review Process All submitted papers and artifacts will be reviewed by at least three members of the program committee. Papers must not have been previously published or concurrently submitted elsewhere. Papers must conform to the 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 option) and submitted via EasyChair. Accepted papers will appear in the symposium proceedings that will be published in the ACM and IEEE digital libraries. The official publication date of an accepted paper will be the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of ICSE2019. The official publication date affects the deadline for any patent filings related to published work. Purchases of additional pages in the proceedings is not allowed. ___ Submission Sites * For Long, NIER, and AI and Adaptivity papers: https://easychair.org/conferences/?conf=seams2019 * For Industrial and Experience papers: https://easychair.org/conferences/?conf=seams2019industrial * For Artifact papers: http://easychair.org/conferences/?conf=seams2019artifacttra * For Doctoral project papers: http://easychair.org/conferences/?conf=seams2019doctoraltra ___ Organizing Committee * General Chair: Marin Litoiu, York University, Canada * Program Co-Chair: Siobhán Clarke, Trinity College Dublin, Ireland * Program Co-Chair: Kenji Tei, Waseda University, Japan * Industrial and Experience Chair: Holger Giese, Hasso Plattner Institute, Germany * Artifacts Chair: Amel Bennaceur, The Open University, United Kingdom * Doctoral Chair: Liliana Pasquale, University College Dublin & Lero, Ireland * AI and Adaptivity Chair: Hausi Müller, University of Victoria, Canada * Publicity Co-Chair: Javier Camara, Carnegie Mellon University, United States * Publicity Co-Chair: Genaina Rodrigues, University of Brasilia, Brazil * Publicity Co-Chair: Norha Villegas, Universidad Icesi, Colombia * Social Media Chair: Thomas Vogel, Humboldt-Universität zu Berlin, Germany * Web Chair: Ezequiel Castellano, SOKENDAI / National Institute of Informatics, Japan * Proceedings Chair: Ivana Dusparic, Trinity College Dublin, Ireland * Local Chair: Marios Fokaefs, École Polytechnique de Montréal, Canada ___ Program Committee * Alec Banks, Defence Science and Technology Laboratory, United Kingdom * Alessandro Vittorio Papadopoulos, Mälardalen University, Sweden * Alessia Knauss, Veoneer, Sweden * Amel Bennaceur, The Open University, United Kingdom * Antonio Filieri, Imperial College London, United Kingdom * Bashar Nuseibeh, The Open University & Lero, United Kingdom & Ireland * Betty Cheng, Michigan State University, United States * Bradley Schmerl, Carnegie Mellon University, United States * Bradley Simmons,Infosys Ltd.,United States * Byron Devries, Grand Valley State University, United States * Daniel Sykes, Ocado Technology, United Kingdom * Danny Weyns, Katholieke Universiteit Leuven, Belgium * David Garlan, Carnegie Mellon University, United States * Elisabetta Di Nitto, Politecnico di Milano, Italy * Erik M. Fredericks, Oakland University, United States * Evangelos Pournaras, ETH Zurich, Switzerland * Frank Trollman, TU Berlin, Germany * Gabriel A. Moreno, Carnegie Mellon University, United States * Genaina Rodrigues, University of Brasilia, Brazil * Gregor Engels, University of Paderborn, Germany * Hamoun Ghanbari, Amazon, Canada * Ilias Gerostathopoulos, Technical University of Munich, Germany * Ivana Dusparic, Trinity College Dublin, Ireland * Jan-Philipp Steghöfer, University of Gothenburg, Sweden * Javier Camara, Carnegie Mellon University, United States * Jean-Marc Jézéquel, University of Rennes, France * Jeffrey Kephart, IBM, United States * Joe Wigglesworth, IBM Canada Laboratories, Canada * Ladan Tahvildari, University of Waterloo, Canada * Liliana Pasquale, University College Dublin, Ireland * Luciano Baresi, Politecnico di Milano, Italy * Luis Rodrigues, Universidade de Lisboa, Portugal * Mahdi Derakhshanmanesh, MHP Management- und IT-Beratung GmbH, Germany * Marios Fokaefs, École Polytechnique de Montréal, Canada * Mauro Caporuscio, Linnaeus University, Sweden * Mirko Viroli, University of Bologna, Italy * Nelly Bencomo, Aston University, United Kingdom * Nicolas D'Ippolito, University of Buenos Aires, Argentina * Norha M. Villegas, Universidad Icesi, Colombia * Patrizia Scandurra, University of Bergamo, Italy * Patrizio Pelliccione, Chalmers University of Technology, Sweden * Pooyan Jamshidi, Carnegie Mellon University, United States * Radu Calinescu, University of York, United Kingdom * Raffaela Mirandola, Politecnico di Milano, Italy * Rami Bahsoon, University of Birmingham, United Kingdom * Rogerio de Lemos, University of Kent, United Kingdom * Romina Spalazzese, Malmö University, Sweden * Samuel Kounev, University of Wuerzburg, Germany * Schahram Dustdar, Vienna University of Technology, Austria * Thomas Vogel, Humboldt-Universität zu Berlin, Germany * Tomas Bures, Charles University, Czech Republic * Vitor E. Silva Souza, Federal University of Espírito Santo, Brazil * Xiaoxing Ma, Nanjing University, China * Yijun Yu, The Open University, United Kingdom * Zahia Guessoum, URCA and LIP6, France * Zhenjiang Hu, National Institute of Informatics, Japan