E. Kula, Eric Greuter, A. van Deursen, G. Gousios (2023), Dynamic Prediction of Delays in Software Projects using Delay Patterns and Bayesian Modeling, Satish Chandra, Kelly Blincoe, Paolo Tonella (Eds.), In ESEC/FSE 2023 - Proceedings of the 31st ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering p.1012–1023, ACM DL.

P. Altmeyer, G.J.A. Angela, Aleksander Buszydlik, Karol Dobiczek, A. van Deursen, C.C.S. Liem (2023), Endogenous Macrodynamics in Algorithic Recourse [VIDEO].

Patrick Altmeyer, Angela Giovan, Aleksander Buszydlik, Karol Dobiczek, Arie van Deursen, Cynthia C. S. Liem (2023), Endogenous Macrodynamics in Algorithmic Recourse, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) p.418-431, IEEE.

Tim van Dam, Maliheh Izadi, Arie van Deursen (2023), Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study, L. O'Conner (Eds.), In Proceedings of the 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) p.170-182, IEEE.

P. Altmeyer, C.C.S. Liem, A. van Deursen (2023), Explaining Black-Box Models through Counterfactuals, In The Proceedings of the JuliaCon Conferences (JCON).

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar Devanbu, Arie van Deursen (2023), Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries, Cristina Ceballos (Eds.), In Proceedings of the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) p.260-271, IEEE.

Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen (2023), Generating Class-Level Integration Tests Using Call Site Information, In IEEE Transactions on Software Engineering Volume 49 p.2069-2087.

Arie van Deursen (2023), Getting Things Done: The Eelco Way, Ralf Lammel, Peter D. Mosses, Friedrich Steimann (Eds.), In Eelco Visser Commemorative Symposium, EVCS 2023, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.

Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie Van Deursen (2023), Maintaining and Monitoring AIOps Models Against Concept Drift, In Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023 p.98-99, IEEE.

Xunhui Zhang, Yue Yu, Gousios Georgios, Ayushi Rastogi (2023), Pull Request Decisions Explained: An Empirical Overview, In IEEE Transactions on Software Engineering Volume 49 p.849-871.