What is software quality for AI engineers?: towards a thinning of the fog. - Valentina Golendukhina; Valentina Lenarduzzi; Michael Felderer (CAIN, 2022)

Preliminary findings on the occurrence and causes of data smells in a real-world business travel data processing pipeline. - Valentina Golendukhina; Harald Foidl; Michael Felderer; Rudolf Ramler (SEA4DQ@ESEC/SIGSOFT FSE, 2022)

Automation and Development Effort in Continuous AI Development: A Practitioners' Survey. - Monika Steidl; Valentina Golendukhina; Michael Felderer; Rudolf Ramler (SEAA, 2023)

Enhancing Data Quality in Large-Scale Software Systems for Industrial Automation. - Valentina Golendukhina; Lisa Sonnleithner; Michael Felderer (SEA4DQ@SIGSOFT FSE, 2023)

A Review of Publicly Available Datasets from Manufacturing Systems. - Valentina Golendukhina; Bianca Wiesmayr; Michael Felderer (ETFA, 2024)

Unveiling Data Preprocessing Patterns in Computational Notebooks. - Valentina Golendukhina; Michael Felderer (SEAA, 2024)

Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers. - Harald Foidl; Valentina Golendukhina; Rudolf Ramler; Michael Felderer (J. Syst. Softw., 2024)

SEA4DQ 2024 Workshop Summary. - Tim Menzies; Bowen Xu; Hong Jin Kang; Jie M. Zhang; Jiri Gesi; Sagar Sen; Beatriz Cassoli; Nicolas Jourdan 001; Jieke Shi; Phu Hong Nguyen; Valentina Golendukhina (ACM SIGSOFT Softw. Eng. Notes, 2024)

A Catalog of Consumer IoT Device Characteristics for Data Quality Estimation. - Valentina Golendukhina; Harald Foidl; Daniel Hörl; Michael Felderer (ACM J. Data Inf. Qual., 2024)

Visualization Tools for Machine Learning Pipelines: A Review. - Valentina Golendukhina; Michael Felderer; Lisa Sonnleithner (PacificVis, 2025)