Arumoy Shome, Luís Cruz, Arie Van Deursen (2023), Towards Understanding Machine Learning Testing in Practise, In Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023 p.117-118, IEEE.

Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie Van Deursen (2023), Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI, In Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023 p.25-36, IEEE.

C.E. Brandt, D. Wang, A.E. Zaidman (2023), When to Let the Developer Guide: Trade-offs Between Open and Guided Test Amplification, Leon Moonen, Christian Newman, Alessandra Gorla (Eds.), In Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM) p.231-241, IEEE Computer Society - Conference Publishing Services.

Bart Van Oort, Luís Cruz, Babak Loni, Arie Van Deursen (2022), 'Project smells' - Experiences in Analysing the Software Quality of ML Projects with mllint, In Proceedings - 2022 ACM/IEEE 44th International Conference on Software Engineering p.211-220, IEEE.

A. Panichella (2022), An Improved Pareto Front Modeling Algorithm for Large-scale Many-Objective Optimization, In The Genetic and Evolutionary Computation Conference p.565-573, Association for Computer Machinery.

Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan Rellermeyer (2022), Are Concept Drift Detectors Reliable Alarming Systems?: A Comparative Study, Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan (Eds.), In Proceedings of the 2022 IEEE International Conference on Big Data (Big Data) p.3364-3373, IEEE.

Lukas Vermeer, Kevin Anderson, Mauricio Acebal (2022), Automated Sample Ratio Mismatch (SRM) Detection and Analysis, M. Staron, C. Berger, J. Simmonds, R. Prikladnicki (Eds.), In Proceedings of the ACM International Conference on Evaluation and Assessment in Software Engineering, EASE 2022 p.268–269, ACM.

Pouria Derakhshanfar, Xavier Devroey (2022), Basic Block Coverage for Unit Test Generation at the SBST 2022 Tool Competition, In Proceedings of the 2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST) p.37-38, IEEE.

Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman (2022), Basic block coverage for search-based unit testing and crash reproduction, In Empirical Software Engineering Volume 27.

Ahmad Abdellatif, Mairieli Wessel, Igor Steinmacher, Marco A. Gerosa, Emad Shihab (2022), BotHunter: An Approach to Detect Software Bots in GitHub, In Proceedings - 2022 Mining Software Repositories Conference, MSR 2022 p.6-17, IEEE.