Milad Abdullah

According to our database, Milad Abdullah authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Combined Approach to Performance Regression Testing Resource Usage Reduction.

Milad Abdullah, David Georg Reichelt, Vojtech Horký, Lubomír Bulej, Tomás Bures, Petr Tuma

Proceedings of the 21st International Conference on Predictive Models and Data Analytics in Software Engineering, 2025

A Model-Based Approach to Experiment-Driven Evolution of ML Workflows.

Petr Hnetynka, Tomás Bures, Ilias Gerostathopoulos, Milad Abdullah, Keerthiga Rajenthiram

Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering, 2025

Towards Continuous Experiment-Driven MLOps.

Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Tomás Bures, Gerard Pons, Besim Bilalli, Anna Queralt

Proceedings of the 4th IEEE/ACM International Conference on AI Engineering, 2025

2024

Robin: A Systematic Literature Mapping Management Tool.

Milad Abdullah, Michal Töpfer, Tomás Bures

Proceedings of the 50th Euromicro Conference on Software Engineering and Advanced Applications, 2024

ExpEngine: A Tool for Data Analytics Workflow Optimization Through User-Driven Experimentation.

Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Tomás Bures

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

2023

Machine-learning abstractions for component-based self-optimizing systems.

Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis

Int. J. Softw. Tools Technol. Transf., December, 2023

Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations.

Milad Abdullah, Lubomír Bulej, Tomás Bures, Vojtech Horký, Petr Tuma

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

2022

Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems.

Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

Reducing Experiment Costs in Automated Software Performance Regression Detection.

Milad Abdullah, Lubomír Bulej, Tomás Bures, Petr Hnetynka, Vojtech Horký, Petr Tuma

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Introducing Estimators - Abstraction for Easy ML Employment in Self-adaptive Architectures.

Milad Abdullah, Michal Töpfer, Tomás Bures, Petr Hnetynka, Martin Krulis, Frantisek Plásil

Proceedings of the Software Architecture. ECSA 2022 Tracks and Workshops, 2022

Controlling Automatic Experiment-Driven Systems Using Statistics and Machine Learning.

Milad Abdullah

Proceedings of the Software Architecture. ECSA 2022 Tracks and Workshops, 2022

ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components.

Michal Töpfer, Milad Abdullah, Martin Krulis, Tomás Bures, Petr Hnetynka

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, 2022