Harald Foidl
Zitiert von
Zitiert von
Research challenges of industry 4.0 for quality management
H Foidl, M Felderer
Innovations in Enterprise Information Systems Management and Engineering …, 2016
Risk-based data validation in machine learning-based software systems
H Foidl, M Felderer
proceedings of the 3rd ACM SIGSOFT international workshop on machine …, 2019
Integrating software quality models into risk-based testing
H Foidl, M Felderer
Software Quality Journal 26, 809-847, 2018
Data smells: Categories, causes and consequences, and detection of suspicious data in ai-based systems
H Foidl, M Felderer, R Ramler
Proceedings of the 1st International Conference on AI Engineering: Software …, 2022
Technical debt in data-intensive software systems
H Foidl, M Felderer, S Biffl
2019 45th Euromicro conference on software engineering and advanced …, 2019
Data science challenges to improve quality assurance of Internet of Things applications
H Foidl, M Felderer
Leveraging Applications of Formal Methods, Verification and Validation …, 2016
An approach for assessing industrial IoT data sources to determine their data trustworthiness
H Foidl, M Felderer
Internet of Things 22, 100735, 2023
Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers
H Foidl, V Golendukhina, R Ramler, M Felderer
Journal of Systems and Software 207, 111855, 2024
Preliminary findings on the occurrence and causes of data smells in a real-world business travel data processing pipeline
V Golendukhina, H Foidl, M Felderer, R Ramler
Proceedings of the 2nd International Workshop on Software Engineering and AI …, 2022
A Catalog of Consumer IoT Device Characteristics for Data Quality Estimation
V Golendukhina, H Foidl, D Hörl, M Felderer
ACM Journal of Data and Information Quality, 2024
Internet of Things
H Foidl, M Felderer
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