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A. Panichella, Sebastiano Panichella, Gordon Fraser, Anand Ashok Sawant, Vincent Hellendoorn (2022), Test Smells 20 Years Later: Detectability, Validity, and Reliability, In Empirical Software Engineering Volume 27.

Cristian Alexandru Botocan, Piyush Deshmukh, Pavlos Makridis, Jorge Romeu Huidobro, Mathanrajan Sundarrajan, Mauricio Aniche, Andy Zaidman (2022), TestKnight: An Interactive Assistant to Stimulate Test Engineering, In Proceedings - 2022 ACM/IEEE 44th International Conference on Software Engineering p.222-226, IEEE.

C. Pronk, P.J. Trimp (2022), The Esiac-10 Algebraic Computer: A theoretical decomposition by the Historic Collection, In Maxwell-periodiek der electrotechnische vereeniging Volume 25 p.6-11.

Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios (2022), Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python, In Proceedings - 2022 ACM/IEEE 44th International Conference on Software Engineering, ICSE 2022 p.2241-2252, IEEE.

B. Jansen (2022), XLBlocks: On the Effect of a Visual Language on Formula Creation and Comprehension in Spreadsheets, PhD Thesis Delft University of Technology.

A. Panichella (2021), A Systematic Comparison of Search-Based Approaches for LDA Hyperparameter Tuning, In Information and Software Technology Volume 130.

Rafaila Galanopoulou, Diomidis Spinellis (2021), A dataset of open-source safety-critical software, Elisabetta Di Nitto, Pierluigi Plebani (Eds.), In TSOS 2021 Trustworthy Software and Open Source Volume 2878 p.38-43.

Petra Heck, Gerard Schouten, Luís Cruz (2021), A software engineering perspective on building production-ready machine learning systems, In Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry p.23-54, IGI Global.

Mark Haakman, Luís Cruz, Hennie Huijgens, Arie van Deursen (2021), AI lifecycle models need to be revised: An exploratory study in Fintech, In Empirical Software Engineering Volume 26 p.1-29.