Milad Abdullah

15 papers B 4C 1Journal 3Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
A Combined Approach to Performance Regression Testing Resource Usage Reduction.
PROMISE
Milad Abdullah, David Georg Reichelt, Vojtech Horký, Lubomír Bulej, Tomás Bures, Petr Tuma
2025 C conf
A Model-Based Approach to Experiment-Driven Evolution of ML Workflows.
MODELSWARD
Petr Hnetynka, Tomás Bures, Ilias Gerostathopoulos, Milad Abdullah, Keerthiga Rajenthiram
2025 — conf
Temporal Harmonization of Heterogeneous Software Logs: A Unified Model for Time-Series Analysis.
ECSA (Tracks and Workshops)
Milad Abdullah, Petr Hnetynka, Jiyan Salim Mahmud
2025 B conf
Towards Continuous Experiment-Driven MLOps.
CAIN
Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Tomás Bures, Gerard Pons, Besim Bilalli, Anna Queralt
2025 J jnl
Towards Continuous Experiment-driven MLOps.
CoRR
Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Tomás Bures, Gerard Pons, Besim Bilalli, Anna Queralt
2024 — conf
ExpEngine: A Tool for Data Analytics Workflow Optimization Through User-Driven Experimentation.
ACSOS-C
Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Tomás Bures
2024 B conf
Robin: A Systematic Literature Mapping Management Tool.
SEAA
Milad Abdullah, Michal Töpfer, Tomás Bures
2023 B conf
Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations.
SEAA
Milad Abdullah, Lubomír Bulej, Tomás Bures, Vojtech Horký, Petr Tuma
2023 J jnl
Ensemble-based modeling abstractions for modern self-optimizing systems.
CoRR
Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis
2023 J jnl
Machine-learning abstractions for component-based self-optimizing systems.
Int. J. Softw. Tools Technol. Transf.
Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis
2022 — conf
Controlling Automatic Experiment-Driven Systems Using Statistics and Machine Learning.
ECSA (Tracks and Workshops)
Milad Abdullah
2022 — conf
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems.
ISoLA (3)
Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis
2022 — conf
Introducing Estimators - Abstraction for Easy ML Employment in Self-adaptive Architectures.
ECSA (Tracks and Workshops)
Milad Abdullah, Michal Töpfer, Tomás Bures, Petr Hnetynka, Martin Krulis, Frantisek Plásil
2022 — conf
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components.
ACSOS-C
Michal Töpfer, Milad Abdullah, Martin Krulis, Tomás Bures, Petr Hnetynka
2022 B conf
Reducing Experiment Costs in Automated Software Performance Regression Detection.
SEAA
Milad Abdullah, Lubomír Bulej, Tomás Bures, Petr Hnetynka, Vojtech Horký, Petr Tuma