Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things

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 o...

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Detalles Bibliográficos
Otros Autores: Nguyen, Phu, editor (editor), Sen, Sagar, editor, Magnanini, Maria Chiara, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York, NY : Association for Computing Machinery 2022.
Colección:ACM Conferences
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009714627706719
Descripción
Sumario: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? In this workshop, we aim to answer this question.
Descripción Física:1 online resource (25 pages)