A. Omar Portillo-Dominguez

发表

Improving the Testing of Java Garbage Collection Through an Efficient Benchmark Generation

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, 2018, 2018 6th International Conference in Software Engineering Research and Innovation (CONISOFT).

Load Balancing of Java Applications by Forecasting Garbage Collections

A. Omar Portillo-Dominguez, Philip Perry, Damien Magoni, 2014, 2014 IEEE 13th International Symposium on Parallel and Distributed Computing.

Towards an Efficient Log Data Protection in Software Systems through Data Minimization and Anonymization

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, 2019, 2019 7th International Conference in Software Engineering Research and Innovation (CONISOFT).

Towards an Efficient Performance Testing Through Dynamic Workload Adaptation

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, Liam Murphy, 2019, ICTSS.

Automated WAIT for Cloud-Based Application Testing

A. Omar Portillo-Dominguez, Damien Magoni, Miao Wang, 2014, 2014 IEEE Seventh International Conference on Software Testing, Verification and Validation Workshops.

Towards an Efficient Benchmark Generation Engine for Garbage Collection

A. Omar Portillo-Dominguez, 2018, ICPE Companion.

DYNAMOJM: A JMeter Tool for Performance Testing Using Dynamic Workload Adaptation

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, Liam Murphy, 2019, ICTSS.

Towards an emulated IoT test environment for anomaly detection using NEMU

A. Omar Portillo-Dominguez, Philip Perry, Adriana Hava, 2017, 2017 Global Internet of Things Summit (GIoTS).

Improving the Testing of Clustered Systems Through the Effective Usage of Java Benchmarks

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, 2017, 2017 5th International Conference in Software Engineering Research and Innovation (CONISOFT).

PHOEBE: an automation framework for the effective usage of diagnosis tools in the performance testing of clustered systems

A. Omar Portillo-Dominguez, Philip Perry, Damien Magoni, 2017, Softw. Pract. Exp..

Towards an automated approach to use expert systems in the performance testing of distributed systems

Erik R. Altman, A. Omar Portillo-Dominguez, Peter F. Sweeney, 2014, JAMAICA 2014.

Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things

A. Omar Portillo-Dominguez, Damien Magoni, John Murphy, 2018, 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

TRINI: an adaptive load balancing strategy based on garbage collection for clustered Java systems

A. Omar Portillo-Dominguez, Philip Perry, Damien Magoni, 2016, Softw. Pract. Exp..

A Requirements-Based Approach for the Evaluation of Emulated IoT Systems

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, Vanessa Ayala-Rivera, 2018, 2018 4th International Workshop on Requirements Engineering for Self-Adaptive, Collaborative, and Cyber Physical Systems (RESACS).

COCOA: A Synthetic Data Generator for Testing Anonymization Techniques

Christina Thorpe, A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, 2016, PSD.

One Size Does Not Fit All: In-Test Workload Adaptation for Performance Testing of Enterprise Applications

John Murphy, A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, 2018, ICPE.

Choosing Machine Learning Algorithms for Anomaly Detection in Smart Building IoT Scenarios

A. Omar Portillo-Dominguez, John Murphy, Liam Murphy, 2019, 2019 IEEE 5th World Forum on Internet of Things (WF-IoT).

In-Test Adaptation of Workload in Enterprise Application Performance Testing

A. Omar Portillo-Dominguez, Philip Perry, John Murphy, 2017, ICPE Companion.

Adaptive GC-Aware Load Balancing Strategy for High-Assurance Java Distributed Systems

A. Omar Portillo-Dominguez, Damien Magoni, Miao Wang, 2015, 2015 IEEE 16th International Symposium on High Assurance Systems Engineering.

A unified approach to automate the usage of plagiarism detection tools in programming courses

A. Omar Portillo-Dominguez, Vanessa Ayala-Rivera, John Murphy, 2017, 2017 12th International Conference on Computer Science and Education (ICCSE).