SEA4DQ 2023 – Proceedings

3rd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2023)

Frontmatter

Papers

A Nearest Neighbor-Based Concept Drift Detection Strategy for Reliable Tool Condition Monitoring
Nicolas Jourdan and Joachim Metternich
(TU Darmstadt, Germany)

Publisher's Version Article: fsews23seadqmain-id4-p doi:10.1145/3617573.3618027

Enhancing Data Quality in Large-Scale Software Systems for Industrial Automation
Valentina Golendukhina, Lisa Sonnleithner, and Michael Felderer
(University of Innsbruck, Austria; JKU Linz, Austria; DLR, Germany)

Publisher's Version Article: fsews23seadqmain-id1-p doi:10.1145/3617573.3618028

Data Pre-processing and Sensor-Fusion for Multivariate Statistical Process Control of an Extrusion Process
Frank Westad, Lars Lodgaard, and Torbjørn Pedersen
(Idletechs, Norway; Norwegian University of Science and Technology, Norway; Benteler Automotive, Norway)

Publisher's Version Article: fsews23seadqmain-id2-p doi:10.1145/3617573.3618029

Challenges for Predictive Quality in Multi-stage Manufacturing: Insights from Literature Review
Beatriz Bretones Cassoli and Joachim Metternich
(TU Darmstadt, Germany)

Publisher's Version Article: fsews23seadqmain-id5-p doi:10.1145/3617573.3618030

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