About SEA4DQ

Cyber-physical systems (CPS) have been developed 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?

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 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.

Topics of Interest

  • Software/hardware architectures and frameworks for data quality management in CPS
  • Software engineering and AI to pre-process and clean data
  • Software engineering and AI to detect and repair anomalies in CPS data
  • Software engineering and AI to cluster data as events
  • Software tools for data quality management, testing, and profiling
  • Public sensor datasets from CPS (manufacturing, digital health, energy,...)
  • Distributed ledger and blockchain technologies for quality tracking
  • Quantification of data quality hallmarks and uncertainty in data repair
  • Sensor data fusion techniques for improving data quality and prediction
  • Augmented data quality
  • Case studies that have evaluated an existing technique or tool on real systems, not only toy problems, to manage data quality in cyber-physical systems in different sectors.
  • Certification and standardization of data quality in CPS
  • Approaches for secure and trusted data sharing, especially for data quality, management, and governance in CPS
  • Trade-offs between data quality and data security in CPS

Call for Papers

SEA4DQ 2022 accepts the following types of contributions:

  • Position Papers (max. 2 pages) that analyze trends in data quality for CPS 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 will be around 250-500 words long (and presentation files/short papers if possible) and 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.

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.


The schedule is currently being defined and will be announced shortly

Registration can be done at the FSE conference website. Details to login to the online SEA4DQ workshop can be found in the ESEC/FSE 2022 Program.


The keynotes are currently being defined and will be announced shortly

Important Dates

  • Paper Submission: July 1 - August 1, 2022
  • Notification of Acceptance: August 15, 2022
  • Camera-Ready Submission: September 9, 2022
  • Workshop: November 17/18, 2022

Organization Committee


Phu Nguyen (Main Contact)

General Chair
SINTEF, Norway

Sagar Sen (Main Contact)

Co-Program Chair
SINTEF, Norway
Maria Chiara Magnanini
Co-Program Chair
Politecnico di Milano, Italy

Mikel Armendia
Publicity Chair
Tekniker, Spain
Beatriz Cassoli
Co-Web Chair
TU Darmstadt, Germany
Nicolas Jourdan
Co-Web Chair
TU Darmstadt, Germany

Program Committee*

  • Andreas Metzger, University of Duisburg-Essen, Germany
  • Donghwan Shin, University of Luxembourg, Luxembourg
  • Mike Papadakis, 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
  • Francois Fouquet, DataThings, Luxembourg
  • Dumitru Roman, SINTEF, 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
  • Xavier Beaudaert, IDEKO, Spain
  • 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
  • Hugo Bruneliere, IMT-Atlantique, France
  • Katinka Wolter, Free University of Berlin, Germany
  • Sudipto Ghosh, Colorado State University, USA
  • Luke Todhunter, University of Nottingham, UK
  • Debmalya Biswas, Darwin Digital, Switzerland
* 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.