MalFlow: identification of C&C servers through host-based data flow profiling. - Tobias Wüchner; Martín Ochoa; Mojdeh Golagha; Gaurav Srivastava 008; Thomas Schreck; Alexander Pretschner (SAC, 2016)

Reducing Failure Analysis Time: An Industrial Evaluation. - Mojdeh Golagha; Alexander Pretschner; Dominik Fisch; Roman Nagy (ICSE-SEIP, 2017)

A Framework for Failure Diagnosis. - Mojdeh Golagha (ICST, 2017)

Challenges of Operationalizing Spectrum-Based Fault Localization from a Data-Centric Perspective. - Mojdeh Golagha; Alexander Pretschner (ICST Workshops, 2017)

Aletheia: a failure diagnosis toolchain. - Mojdeh Golagha; Abu Mohammed Raisuddin; Lennart Mittag; Dominik Hellhake; Alexander Pretschner (ICSE (Companion Volume), 2018)

Pairika: a failure diagnosis benchmark for C++ programs. - Md. Rezaur Rahman; Mojdeh Golagha; Alexander Pretschner (ICSE (Companion Volume), 2018)

Machine learning-based run-time anomaly detection in software systems: An industrial evaluation. - Fabian Huch; Mojdeh Golagha; Ana Petrovska; Alexander Krauss 001 (MaLTeSQuE, 2018)

Failure clustering without coverage. - Mojdeh Golagha; Constantin Lehnhoff; Alexander Pretschner; Hermann Ilmberger (ISSTA, 2019)

How to Effectively Reduce Failure Analysis Time? - Mojdeh Golagha (Denert Award, 2020)

Can We Predict the Quality of Spectrum-based Fault Localization? - Mojdeh Golagha; Alexander Pretschner; Lionel C. Briand (ICST, 2020)

A Framework for Failure Diagnosis. - Mojdeh Golagha (2020)

Data-Driven Assessment of Parameterized Scenarios for Autonomous Vehicles. - Nicola Kolb; Florian Hauer 002; Mojdeh Golagha; Alexander Pretschner (SAFECOMP, 2022)

Latent Space Class Dispersion: Effective Test Data Quality Assessment for DNNs. - Vivek Vekariya; Mojdeh Golagha; Andrea Stocco 001; Alexander Pretschner (CoRR, 2025)