| Research challenges of industry 4.0 for quality management H Foidl, M Felderer Innovations in Enterprise Information Systems Management and Engineering …, 2016 | 186 | 2016 |
| Integrating software quality models into risk-based testing H Foidl, M Felderer Software Quality Journal 26, 809-847, 2018 | 27 | 2018 |
| 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 | 22 | 2019 |
| Technical debt in data-intensive software systems H Foidl, M Felderer, S Biffl 2019 45th Euromicro Conference on Software Engineering and Advanced …, 2019 | 15 | 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 | 11 | 2016 |
| 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 | 5 | 2022 |
| Research Challenges of Industry 4.0 for Quality Management. Innovations in Enterprise Information Systems Management and Engineering H Foidl, M Felderer Lectures notes in business information processing, 121-137, 2016 | 5 | 2016 |
| An Approach for Assessing Industrial Iot Data Sources to Determine Their Data Trustworthiness H Foidl, M Felderer IOT-D-22-00074, 2022 | 1 | 2022 |
| 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 | | 2022 |
Michael FeldererGerman Aerospace Center (DLR); University of CologneVerified email at dlr.de
