Modern software systems are centered on data, using data on an increasing scale and in novel and intelligent ways. Key drivers for increased data availability include the Internet of Things (IoT), data sharing platforms, as well as open data portals. Data quality is crucial, as the data acquired and used by modern software systems strongly impacts on the reliability, robustness, efficiency, and trustworthiness of these systems.
How can software engineering and artificial intelligence (AI) help manage and tame data quality issues?
This is the question we aim to investigate in the workshop SEA4DQ. The SEA4DQ 2023 workshop is the third workshop of the series and discusses novel software engineering and AI techniques that address data quality issues of modern systems. The workshop provides a forum for researchers and practitioners to exchange ideas, lessons learnt, and visions for the future.
Prof. Dr. Andreas Metzger is Co-Chair of the Program Committee.