SEA4DQ Workshop 2022 – Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things


17 November, 2022 – Singapore

(It is possible to join remotely)

The 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC / FSE)

Cyber-physical systems (CPS)/Internet of Things (IoT) are omnipresent in many industrial sectors and application domains in which the quality of the data acquired and used for decision support is a common factor. Data quality can deteriorate due to factors such as sensor faults and failures due to operating in harsh and uncertain environments.

How can software engineering and artificial intelligence (AI) help manage and tame data quality issues in CPS/IoT?

This is the question we aim to investigate in this workshop SEA4DQ. Emerging trends in software engineering need to take data quality management seriously as CPS/IoT are increasingly data-centric in their approach to acquiring and processing data along the edge-fog-cloud continuum. This workshop will provide researchers and practitioners a forum for exchanging ideas, experiences, understanding of the problems, visions for the future, and promising solutions to the problems in data quality in CPS/IoT.

Cyber-Physical Systems/Internet of Things at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC / FSE)

Call for Papers

SEA4DQ 2022 accepts the following types of contributions:

  • Position Papers (max. 2 pages) that analyze trends in data quality for CPS/IoT and raise issues of importance. Position papers are intended to generate discussion and debate during the workshop, and will be reviewed with respect to relevance and their ability to start up fruitful discussions;
  • Work-in-progress Papers (max. 4 pages) that describe novel, interesting, and highly potential work in progress, but not necessarily reaching its full completion;
  • Full Papers (max. 10 pages) describing original and completed research — either empirical or theoretical — in techniques, tools, or industrial case studies;
  • Tool Papers/Demos/Posters (max. 4 pages) presenting some tools/demos/posters that are related to data quality;
  • Presentation Abstracts that that will be around 250-500 words long (and presentation files if possible). If accepted, authors will give presentations at the workshop about (i) research results that are either already published or early research results not yet published; and (ii) industrial talks. This new track aims at stimulating the participation of industrial practitioners – who will be able to present the practices used in their contexts – as well as researchers – who may be interested in receiving feedback from the research community on early ideas. The abstract will only be reviewed by the program committee for relevance, and will not be included in the workshop proceedings.

All submissions must be in English and in PDF format. Submission Format: ACM Primary Article Template.

Please submit HERE (to be updated).

The accepted papers will be published in the workshop’s proceedings (will be proposed for publication in the ACM digital library). As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. At least one author of each accepted paper must register and present the paper in person at SEA4DQ 2022 in order for the paper to be published in the proceedings.

Important Dates

  • Abstract submission deadline: July 25, 2022 (optional)
  • Submission deadline: August 1, 2022
  • Notification of Acceptance: August 26, 2022
  • Camera-Ready Submission: September 9, 2022 (hard deadline)
  • Workshop: November 17th, 2022

Program Committee (tbc)*

  • Andreas Metzger, University of Duisburg-Essen, Germany
  • Donghwan Shin, University of Luxembourg, Luxembourg
  • David Lo, Singapore Management University, Singapore
  • Jean-Yves Tigli, Université Côte d’Azur, France
  • Helena Holmström Olsson, Malmö University, Sweden
  • Frank Alexander Kraemer, NTNU, Norway
  • Hong-Linh Truong, Aalto University, Finland
  • Cyril Cecchinel, DataThings, Luxembourg
  • Dumitru Roman, SINTEF / University of Oslo, Norway
  • Felix Mannhardt, KIT-AR, Germany
  • Dimitra Politaki, INLECOM, Greece
  • Amina Ziegenbein, Technische Universität Darmstadt, Germany
  • Flavien Peysson, PREDICT, France
  • Karl John Pedersen, DNV AS, Norway
  • Helge Spieker, Simula Research Laboratory, Norway
  • Dusica Marijan, Simula Research Laboratory, Norway
  • Marc Roper, University of Strathclyde, UK
  • Jan Nygård, Cancer Registry of Norway, Norway
  • Freddy Munoz, Compass Inc., USA
  • Stefano Borgia, Holonix, Italy
  • Katinka Wolter, Free University of Berlin, Germany
  • Sudipto Ghosh, Colorado State University, USA
  • Luke Todhunter, University of Nottingham, UK
  • Debmalya Biswas, Darwin Digital, Switzerland
  • Enrique Garcia Ceja, Optimeering, Oslo

* PC members list is in an arbitrary order.

The SEA4DQ 2022 Workshop is sponsored by the research projects InterQ and DAT4.Zero that are funded by the European Union’s Horizon 2020 Research and Innovation programme.