Quality Assurance in MLOps Setting: An Industrial Perspective. - Ayan Chatterjee; Bestoun S. Ahmed; Erik Hallin; Anton Engman (ISE@APSEC, 2022)

A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes. - Firas Bayram; Bestoun S. Ahmed; Erik Hallin; Anton Engman (ASE, 2022)

Testing of machine learning models with limited samples: an industrial vacuum pumping application. - Ayan Chatterjee; Bestoun S. Ahmed; Erik Hallin; Anton Engman (ESEC/SIGSOFT FSE, 2022)

DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications. - Firas Bayram; Bestoun S. Ahmed; Erik Hallin; Anton Engman (EASE, 2023)