SEA4DQ 2022 – Proceedings

2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022)

Frontmatter

Keynotes

Data Quality Issues in Online Reinforcement Learning for Self-Adaptive Systems (Keynote)
Andreas Metzger
(University of Duisburg-Essen, Germany)

Publisher's Version

Data Quality and Model Under-Specification Issues (Keynote)
Foutse Khomh
(Polytechnique Montréal, Canada)

Publisher's Version

Software Engineering and AI for Data Quality

Data Quality as a Microservice: An Ontology and Rule Based Approach for Quality Assurance of Sensor Data in Manufacturing Machines
Jørgen Stang, Dirk Walther, and Per Myrseth
(DNV, Norway)

Publisher's Version

Effect of Time Patterns in Mining Process Invariants for Industrial Control Systems: An Experimental Study
Muhammad Azmi Umer, Aditya Mathur, and Muhammad Taha Jilani
(CodeX, Pakistan; Karachi Institute of Economics and Technology, Pakistan; Singapore University of Technology and Design, Singapore)

Publisher's Version

Preliminary Findings on the Occurrence and Causes of Data Smells in a Real-World Business Travel Data Processing Pipeline
Valentina Golendukhina, Harald Foidl, Michael Felderer, and Rudolf Ramler
(University of Innsbruck, Austria; Software Competence Center Hagenberg, Austria)

Publisher's Version

Data Quality Issues for Vibration Sensors: A Case Study in Ferrosilicon Production
Maryna Waszak, Terje Moen, Sølve Eidnes, Alexander Stasik, Anders Hansen, Gregory Bouquet, Antoine Pultier, Xiang Ma, Idar Tørlen, Bjørn Henriksen, Arianeh Aamodt, and Dumitru Roman
(SINTEF, Norway; Elkem, Norway)

Publisher's Version

Data Quality Issues in Solar Panels Installations: A Case Study
Dumitru Roman, Antoine Pultier, Xiang Ma, Ahmet Soylu, and Alexander G. Ulyashin
(SINTEF, Norway; Oslo Metropolitan University, Norway)

Publisher's Version

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