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Ana-Maria Oprescu
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2020 – today
- 2024
- [c40]Susan van den Broek
, Ana Oprescu
Bug Localisation in Model-Based Testing using Model-Centric Shrinking. DEBT@ISSTA 2024: 9-15 - [c39]Jorrit Stutterheim
DYNAMOS: Dynamic Microservice Composition for Data-Exchange Systems, Lessons Learned. ICSA-C 2024: 8-15 - [c38]Vit Zemanek, Yixin Hu, Pepijn de Reus
Exploring the Impact of K-Anonymisation on the Energy Efficiency of Machine Learning Algorithms. ICT4S 2024: 128-137 - [c37]Tanjina Islam, Ana Oprescu, Zoltán Ádám Mann, Sander Klous:
A Framework to Optimize the Energy Cost of Securing Neural Network Inference. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2024: 1-8 - [c36]Anestis Dalgkitsis, Alexandros Koufakis, Jorrit Stutterheim, Aleandro Mifsud, Priyanka Atwani, Leon Gommans, Cees de Laat, Chrysa Papagianni
Secure Collaborative Model Training with Dynamic Federated Learning in Multi-Domain Environments. SC Workshops 2024: 755-759 - [i4]Pepijn de Reus, Kyra Dresen, Ana Oprescu, Kristina Irion, Ans Kolk:
An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data. CoRR abs/2410.00069 (2024) - [i3]Tom Cappendijk, Pepijn de Reus, Ana Oprescu:
Generating Energy-efficient code with LLMs. CoRR abs/2411.10599 (2024) - [i2]Pepijn de Reus, Ana Oprescu, Jelle Zuidema:
An exploration of the effect of quantisation on energy consumption and inference time of StarCoder2. CoRR abs/2411.12758 (2024) - 2023
- [c35]Pepijn de Reus
Energy Cost and Machine Learning Accuracy Impact of k-Anonymisation and Synthetic Data Techniques. ICT4S 2023: 57-65 - [c34]Ana-Maria Oprescu, Ingrid Kokken
Introducing Green Thinking Into CS Bachelor Curriculum. ITiCSE (2) 2023: 667 - [i1]Pepijn de Reus, Ana Oprescu, Koen van Elsen:
Energy cost and machine learning accuracy impact of k-anonymisation and synthetic data techniques. CoRR abs/2305.07116 (2023) - 2022
- [c33]Bas van den Brink, Tannaz Zameni, Ulyana Tikhonova, Lammert Vinke, Ana-Maria Oprescu:
Leveraging composability in model-based testing for microservices. BENEVOL 2022 - [c32]Jesse Postema, Johan Fabry, Yannick Barthol, Ana Oprescu:
Testing a PL/I Compiler Using Precomputation-based Program Generation. ICST 2022: 334-344 - [c31]Tobias Bachmann, Djurre van der Wal, Machiel van der Bijl, Daan van der Meij, Ana Oprescu:
Translating EULYNX SysML Models into Symbolic Transition Systems for Model-Based Testing of Railway Signaling Systems. ICST 2022: 355-364 - [c30]Lukas Koedijk, Ana Oprescu:
Finding Significant Differences in the Energy Consumption when Comparing Programming Languages and Programs. ICT4S 2022: 1-12 - [c29]Ana Oprescu, Sander Misdorp, Koen van Elsen:
Energy cost and accuracy impact of k-anonymity. ICT4S 2022: 65-76 - 2021
- [c28]Lars van Hijfte, Ana Oprescu:
MutantBench: an Equivalent Mutant Problem Comparison Framework. ICST Workshops 2021: 7-12 - 2020
- [c27]Davide Spadini, Martin Schvarcbacher, Ana-Maria Oprescu, Magiel Bruntink, Alberto Bacchelli:
Investigating Severity Thresholds for Test Smells. MSR 2020: 311-321 - [c26]Wouter Bohlken, Machiel van der Bijl, Ana-Maria Oprescu:
Model-Based Fuzzing Using Symbolic Transition Systems. SATToSE 2020 - [c25]Quinten Leidekker, Ana-Maria Oprescu, Lodewijk Bergmans:
Causal Inference for Theory Building in Software Evolution. SATToSE 2020 - [c24]Jakob Löhnertz, Ana-Maria Oprescu:
Steinmetz: Toward Automatic Decomposition of Monolithic Software Into Microservices. SATToSE 2020 - [c23]Núria Bruch Tàrrega, Miroslav Zivkovic, Ana Oprescu:
Measuring the Impact of Library Dependency on Maintenance. SATToSE 2020
2010 – 2019
- 2019
- [c22]Céline Deknop, Simon Baars, Kim Mens, Ana Oprescu, Johan Fabry:
Clone Detection vs. Pattern Mining: The Battle. BENEVOL 2019 - [c21]Simon Baars
Finding Code Clone Refactoring Techniques by Mapping Clone Context. CEFP 2019: 344-357 - [c20]Michel-Daniel Cojocaru, Alexandru Uta
MicroValid: A Validation Framework for Automatically Decomposed Microservices. CloudCom 2019: 78-86 - [c19]Nicolae Marian Popa, Ana Oprescu
A Data-Centric Approach to Distributed Tracing. CloudCom 2019: 209-216 - [c18]Michel-Daniel Cojocaru, Ana-Maria Oprescu
Attributes Assessing the Quality of Microservices Automatically Decomposed from Monolithic Applications. ISPDC 2019: 84-93 - [c17]Simon Baars, Ana Oprescu:
Towards Automated Merging of Code Clones in Object-Oriented Programming Languages. SATToSE 2019 - [c16]Sander Meester, Sanne Bouwmeester, Ana-Maria Oprescu:
Towards a Naming Quality Model. SATToSE 2019 - [c15]Martin Schvarcbacher, Davide Spadini, Magiel Bruntink, Ana Oprescu:
Investigating Developer Perception on Test Smells Using Better Code Hub. SATToSE 2019 - 2018
- [j4]Alexandru Uta
MemEFS: A network-aware elastic in-memory runtime distributed file system. Future Gener. Comput. Syst. 82: 631-646 (2018) - 2017
- [j3]Haralambie Leahu, Michel Mandjes, Ana-Maria Oprescu
A Numerical Approach to Stability of Multiclass Queueing Networks. IEEE Trans. Autom. Control. 62(10): 5478-5484 (2017) - 2016
- [c14]Alexandru Uta
Towards Resource Disaggregation - Memory Scavenging for Scientific Workloads. CLUSTER 2016: 100-109 - 2015
- [j2]Alexandra Vintila Filip, Ana-Maria Oprescu
E-BaTS: Energy-Aware Scheduling for Bag-of-Task Applications in HPC Clusters. Parallel Process. Lett. 25(3): 1541005:1-1541005:32 (2015) - [c13]Ana-Maria Oprescu
Fast Pareto Front Approximation for Cloud Instance Pool Optimization. GECCO (Companion) 2015: 1443-1444 - 2014
- [c12]Cosmin Dumitru, Ana-Maria Oprescu
A Queueing Theory Approach to Pareto Optimal Bags-of-Tasks Scheduling on Clouds. Euro-Par 2014: 162-173 - [c11]Marc X. Makkes
Smart cyber infrastructure for big data processing. OFC 2014: 1-3 - 2013
- [c10]Ana-Maria Oprescu
ICOMF: Towards a Multi-cloud Ecosystem for Dynamic Resource Composition and Scaling. CloudCom (1) 2013: 49-55 - [c9]Yuri Demchenko
New Instructional Models for Building Effective Curricula on Cloud Computing Technologies and Engineering. CloudCom (2) 2013: 112-119 - [c8]Alexandru-Florian Antonescu, Ana-Maria Oprescu
Dynamic Optimization of SLA-Based Services Scaling Rules. CloudCom (1) 2013: 282-289 - [c7]Ana-Maria Oprescu
Strategies for Generating and Evaluating Large-Scale Powerlaw-Distributed P2P Overlays. DAIS 2013: 71-84 - [c6]Marc X. Makkes
MeTRO: Low Latency Network Paths with Routers-on-Demand. Euro-Par Workshops 2013: 333-342 - [c5]Alexandra Vintila, Ana-Maria Oprescu
Fast (re-)configuration of mixed on-demand and spot instance pools for high-throughput computing. ORMaCloud 2013: 25-32 - 2012
- [c4]Ana-Maria Oprescu
Stochastic Tail-Phase Optimization for Bag-of-Tasks Execution in Clouds. UCC 2012: 204-208 - 2011
- [j1]Ana-Maria Oprescu
Budget Estimation and Control for Bag-of-Tasks Scheduling in Clouds. Parallel Process. Lett. 21(2): 219-243 (2011) - 2010
- [c3]Ana-Maria Oprescu
Bag-of-Tasks Scheduling under Budget Constraints. CloudCom 2010: 351-359
2000 – 2009
- 2009
- [c2]Ana-Maria Oprescu
FTRepMI: Fault-Tolerant, Sequentially-Consistent Object Replication for Grid Applications. ICDCN 2009: 368-376 - 2007
- [c1]Gosia Wrzesinska, Ana-Maria Oprescu
Persistent Fault-Tolerance for Divide-and-Conquer Applications on the Grid. Euro-Par 2007: 425-436
Coauthor Index
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