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A. Omar Portillo‐Dominguez

Observed names: A. Omar Portillo-Dominguez, A.Omar Portillo-Dominguez, Portillo-Dominguez, A. Omar, Portillo-Domínguez, Andrés Omar
ORCID: 0000-0003-3009-985X
Observed ORCID: 0000-0003-3009-985X
OpenAlex ID: A5086869552
COCOA: A Synthetic Data Generator for Testing Anonymization Techniques
2016 · Vanessa Ayala-Rivera, A. Omar Portillo-Dominguez, et al. · Lecture notes in computer science · 25
GDPR compliance via software evolution: Weaving security controls in software design
2024 · Vanessa Ayala-Rivera, A. Omar Portillo-Dominguez, et al. · Journal of Systems and Software · 23
Towards an emulated IoT test environment for anomaly detection using NEMU
2017 · Shane Brady, Adriana Hava, et al. · Global Internet of Things Summit (GIoTS) · 23
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Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things
2018 · Shane Brady, Damien Magoni, et al. · IEEE Latin American Conference on Computational Intelligence (LA-CCI) · 22
Choosing Machine Learning Algorithms for Anomaly Detection in Smart Building IoT Scenarios
2019 · Fernando Almaguer-Angeles, John Murphy, et al. · IEEE World Forum on Internet of Things (WF-IoT) · 18
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One Size Does Not Fit All: In-Test Workload Adaptation for Performance Testing of Enterprise Applications
2018 · Vanessa Ayala-Rivera, Maciej Kaczmarski, et al. · ACM/SPEC International Conference on Performance Engineering (ICPE) · 15
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Load Balancing of Java Applications by Forecasting Garbage Collections
2014 · A. Omar Portillo-Dominguez, Miao Wang, et al. · International Symposium on Parallel and Distributed Computing · 15
PHOEBE: an automation framework for the effective usage of diagnosis tools in the performance testing of clustered systems
2017 · A. Omar Portillo‐Dominguez, Philip Perry, et al. · Software Practice and Experience · 12
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TRINI: an adaptive load balancing strategy based on garbage collection for clustered Java systems
2016 · A. Omar Portillo‐Dominguez, Philip Perry, et al. · Software Practice and Experience · 12
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Adaptive GC-Aware Load Balancing Strategy for High-Assurance Java Distributed Systems
2015 · A. Omar Portillo-Dominguez, Miao Wang, et al. · IEEE International Symposium on High Assurance Systems Engineering (HASE) · 11
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Automated WAIT for Cloud-Based Application Testing
2014 · A. Omar Portillo-Dominguez, Miao Wang, et al. · IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) · 11
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Detection of Phishing in Mobile Instant Messaging Using Natural Language Processing and Machine Learning
2023 · Suman Verma, Vanessa Ayala-Rivera, et al. · International Conference in Software Engineering Research and Innovation (CONISOFT) · 9
Towards an Efficient Log Data Protection in Software Systems through Data Minimization and Anonymization
2019 · A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera · International Conference in Software Engineering Research and Innovation (CONISOFT) · 9
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A unified approach to automate the usage of plagiarism detection tools in programming courses
2017 · A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, et al. · International Conference on Computer Science and Education · 7
Leverage of extended information to enhance the performance of JEE systems
2012 · Portillo-Domínguez, Andrés Omar, Murphy, John, et al. · University of Limerick Institutional Repository (University of Limerick) · 6
A Requirements-Based Approach for the Evaluation of Emulated IoT Systems
2018 · A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera · 5
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In-Test Adaptation of Workload in Enterprise Application Performance Testing
2017 · Maciej Kaczmarski, Philip Perry, et al. · ACM/SPEC International Conference on Performance Engineering (ICPE) · 5
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Towards an automated approach to use expert systems in the performance testing of distributed systems
2014 · A. Omar Portillo-Dominguez, Miao Wang, et al. · 5
Android-based Smartphone Malware Exploit Prevention Using a Machine Learning-based Runtime Detection System
2022 · Athul Vijay, A. Omar Portillo-Dominguez, et al. · International Conference in Software Engineering Research and Innovation (CONISOFT) · 4
Securing the Software Supply Chain with Software Bill of Materials (SBOMs): An Empirical Evaluation of Open-Source Tools in Enterprise IT Environments
2025 · O. Sorocean, A. Omar Portillo-Dominguez, et al. · Programming and Computer Software · 3
Enhancing Android Ransomware Detection Using an Ensemble Machine Learning Classifier
2024 · Nasser Vali, A.Omar Portillo-Dominguez, et al. · Programming and Computer Software · 3
Enhancing Visibility of Components and Dependencies Across Diverse IT Environments with Open-Source Software-Bill-of-Materials Generation Tools
2024 · Oleg Sorocean, Vanessa Ayala-Rivera, et al. · International Conference in Software Engineering Research and Innovation (CONISOFT) · 3
Detecting Pass-the-Hash Attack in a Microsoft Active Directory Environment using an Open-Source Approach
2024 · Jacques Gerald Vivian Felicite, Vanessa Ayala-Rivera, et al. · International Conference in Software Engineering Research and Innovation (CONISOFT) · 3
Towards an Efficient Performance Testing Through Dynamic Workload Adaptation
2019 · Osvaldo Huerta-Guevara, Vanessa Ayala-Rivera, et al. · Lecture notes in computer science · 3
Improving the Testing of Java Garbage Collection Through an Efficient Benchmark Generation
2018 · A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera · International Conference in Software Engineering Research and Innovation (CONISOFT) · 3
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Works count: 40
Citation count: 271
H-index: 11
I10-index: 11
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