Hall-of-Apps: The Top Android Apps Metadata Archive. - Laura Bello-Jiménez; Camilo Escobar-Velásquez; Anamaria Mojica-Hanke; Santiago Cortés-Fernández; Mario Linares-Vásquez (MSR, 2020)

Shallow or Deep? An Empirical Study on Detecting Vulnerabilities using Deep Learning. - Alejandro Mazuera-Rozo; Anamaria Mojica-Hanke; Mario Linares-Vásquez; Gabriele Bavota (ICPC, 2021)

Crème de la crème. Investigating Metadata and Survivability of Top Android Apps. - Anamaria Mojica-Hanke; Laura Bello-Jiménez; Camilo Escobar-Velásquez; Mario Linares-Vásquez (SANER, 2022)

Towards machine learning guided by best practices. - Anamaria Mojica-Hanke (ICSE Companion, 2023)

On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers. - Laura Cabra-Acela; Anamaria Mojica-Hanke; Mario Linares-Vásquez; Steffen Herbold (ESEC/SIGSOFT FSE, 2023)

What are the Machine Learning best practices reported by practitioners on Stack Exchange? - Anamaria Mojica-Hanke; Andrea Bayona; Mario Linares-Vásquez; Steffen Herbold; Fabio A. González 001 (CoRR, 2023)

An exploratory study of bug-introducing changes: what happens when bugs are introduced in open source software? - Lukas Schulte; Anamaria Mojica-Hanke; Mario Linares-Vásquez; Steffen Herbold (CoRR, 2023)

Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education. - Anamaria Mojica-Hanke; David Nader-Palacio; Denys Poshyvanyk; Mario Linares-Vásquez; Steffen Herbold (CoRR, 2024)

Legal Aspects for Software Developers Interested in Generative AI Applications. - Steffen Herbold; Brian Valerius; Anamaria Mojica-Hanke; Isabella Lex; Joel Mittel (IEEE Softw., 2025)