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ORCIDNathalia Moraes do Nascimento
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- affiliation: Penn State University, Engineering Division, Malvern, PA, USA
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2020 – today
- 2025
[j4]Cristina Tavares
, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study. IEEE Access 13: 62527-62542 (2025)- [c27]Myron David Lucena Campos Peixoto, Davy de Medeiros Baia, Nathalia Nascimento, Paulo Alencar, Baldoino Fonseca, Márcio Ribeiro:
On the Effectiveness of LLMs for Manual Test Verifications. DeepTest 2025: 45-52 - [c26]Nathalia Nascimento, Everton Guimarães, Sai Sanjna Chintakunta, Santhosh Anitha Boominathan:
How Effective are LLMs for Data Science Coding? A Controlled Experiment. MSR 2025: 211-222 - [c25]Everton Guimarães, Nathalia Nascimento:
AI in the Software Development Lifecycle: Insights and Open Research Questions. SIGSOFT FSE Companion 2025: 1353-1357 - [i22]Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald D. Cowan:
Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study. CoRR abs/2501.00532 (2025) - [i21]Jomar Thomas Almonte, Santhosh Anitha Boominathan, Nathalia Nascimento:
Automated Non-Functional Requirements Generation in Software Engineering with Large Language Models: A Comparative Study. CoRR abs/2503.15248 (2025) - [i20]Brian Gopalan, Nathalia Nascimento, Vishal Monga:
Modular Transformer Architecture for Precision Agriculture Imaging. CoRR abs/2508.03751 (2025) - [i19]Everton Guimarães, Nathalia Nascimento, Chandan Shivalingaiah, Asish Nelapati:
Analyzing Prominent LLMs: An Empirical Study of Performance and Complexity in Solving LeetCode Problems. CoRR abs/2508.03931 (2025) - [i18]Sai Sanjna Chintakunta, Nathalia Moraes do Nascimento, Everton Guimarães:
Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study. CoRR abs/2508.11698 (2025) - [i17]Nathalia Nascimento, Everton Guimarães, Paulo Alencar:
Designing Empirical Studies on LLM-Based Code Generation: Towards a Reference Framework. CoRR abs/2510.03862 (2025) - 2024
- [i16]Giuliano Lorenzoni, Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study. CoRR abs/2404.04284 (2024) - [i15]Myron David Lucena Campos Peixoto, Davy de Medeiros Baia, Nathalia Moraes do Nascimento, Paulo Alencar, Baldoino Fonseca, Márcio Ribeiro:
On the Effectiveness of LLMs for Manual Test Verifications. CoRR abs/2409.12405 (2024) - [i14]Nathalia Nascimento, Everton Guimarães, Sai Sanjna Chintakunta, Santhosh Anitha Boominathan:
LLM4DS: Evaluating Large Language Models for Data Science Code Generation. CoRR abs/2411.11908 (2024) - 2023
- [j3]Glaucia Melo dos Santos, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Identifying Factors That Impact Levels of Automation in Autonomous Systems. IEEE Access 11: 56437-56452 (2023) - [c24]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems. ACSOS-C 2023: 104-109 - [c23]Glaucia Melo, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Variability-Aware Architecture for Human-Chatbot Interactions: Taming Levels of Automation. ACSOS-C 2023: 122-127 - [c22]Cristina Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects. IEEE Big Data 2023: 2441-2449 - [c21]Nathalia Moraes do Nascimento, Cristina Tavares, Paulo S. C. Alencar, Donald D. Cowan:
GPT in Data Science: A Practical Exploration of Model Selection. IEEE Big Data 2023: 4325-4334 - [c20]Luis Fernando Lins, Nathalia Moraes do Nascimento, Paulo Sérgio C. de Alencar, Toacy C. Oliveira, Donald D. Cowan:
Comparing Generative Chatbots Based on Process Requirements: A Case Study. IEEE Big Data 2023: 4664-4673 - [c19]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
GPT-in-the-Loop: Supporting Adaptation in Multiagent Systems. IEEE Big Data 2023: 4674-4683 - [c18]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Artificial Intelligence vs. Software Engineers: An Empirical Study on Performance and Efficiency using ChatGPT. CASCON 2023: 24-33 - [i13]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Comparing Software Developers with ChatGPT: An Empirical Investigation. CoRR abs/2305.11837 (2023) - [i12]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems. CoRR abs/2307.06187 (2023) - [i11]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems. CoRR abs/2308.10435 (2023) - [i10]Nathalia Moraes do Nascimento, Cristina Tavares, Paulo S. C. Alencar, Donald D. Cowan:
GPT in Data Science: A Practical Exploration of Model Selection. CoRR abs/2311.11516 (2023) - [i9]Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects. CoRR abs/2311.14214 (2023) - [i8]Luis Fernando Lins, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Toacy Cavalcante de Oliveira, Donald D. Cowan:
Comparing Generative Chatbots Based on Process Requirements. CoRR abs/2312.03741 (2023) - 2022
- [c17]Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Adaptive Method for Machine Learning Model Selection in Data Science Projects. IEEE Big Data 2022: 2682-2688 - [c16]Antonio Iyda Paganelli, André Sarmento, Adriano Branco, Markus Endler, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Assessing Energy Consumption in Data Acquisition from Smart Wearable Sensors in IoT-Based Health Applications. IEEE Big Data 2022: 2882-2885 - [c15]Glaucia Melo dos Santos, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Understanding Levels of Automation in Human-Machine Collaboration. IEEE Big Data 2022: 3952-3958 - 2021
- [c14]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
An Approach to Support Human-in-the-Loop Big Data Software Development Projects. IEEE BigData 2021: 2319-2326 - [c13]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
A Lifecycle for Engineering IoT Neural Network-based Systems. IEEE BigData 2021: 2427-2433 - [c12]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Context-Aware Data Analytics Variability in IoT Neural Network-Based Systems. IEEE BigData 2021: 3595-3600 - [c11]Maria Cristina Vale Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Towards Automated Variability-Aware Machine-Learning-Based Modeling Analysis. IEEE BigData 2021: 3890-3896 - [i7]Giuliano Lorenzoni, Paulo Alencar, Nathalia Moraes do Nascimento, Donald D. Cowan:
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review. CoRR abs/2102.07574 (2021) - [i6]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan, Carlos Lucena:
A Reference Model for IoT Embodied Agents Controlled by Neural Networks. CoRR abs/2102.07589 (2021) - 2020
- [j2]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
A Metadata-Driven Approach for Testing Self-Organizing Multiagent Systems. IEEE Access 8: 204256-204267 (2020) - [c10]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan, Carlos Lucena:
A Reference Model for IoT Embodied Agents Controlled by Neural Networks. IEEE BigData 2020: 3500-3505
2010 – 2019
- 2019
- [i5]Nathalia Moraes do Nascimento, Carlos Lucena, Paulo S. C. Alencar, Carlos Juliano M. Viana:
Testing Self-Organizing Multiagent Systems. CoRR abs/1904.01736 (2019) - 2018
- [c9]Nathalia Moraes do Nascimento:
A Self-Configurable IoT Agent System based on Environmental Variability. AAMAS 2018: 1761-1763 - [c8]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
Toward Human-in-the-Loop Collaboration Between Software Engineers and Machine Learning Algorithms. IEEE BigData 2018: 3534-3540 - [c7]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning. IEEE BigData 2018: 5170-5175 - [c6]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
A context-aware machine learning-based approach. CASCON 2018: 40-47 - [i4]Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena:
Engineering Cooperative Smart Things based on Embodied Cognition. CoRR abs/1801.04345 (2018) - [i3]Nathalia Moraes do Nascimento, Carlos Lucena, Paulo S. C. Alencar, Donald D. Cowan:
Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks. CoRR abs/1802.01096 (2018) - [i2]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
Machine Learning-based Variability Handling in IoT Agents. CoRR abs/1802.03858 (2018) - [i1]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning. CoRR abs/1812.06791 (2018) - 2017
- [j1]Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena:
FIoT: An agent-based framework for self-adaptive and self-organizing applications based on the Internet of Things. Inf. Sci. 378: 161-176 (2017) - [c5]Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena:
Engineering cooperative smart things based on embodied cognition. AHS 2017: 109-116 - [c4]Nathalia Moraes do Nascimento, Carlos Juliano M. Viana, Arndt von Staa, Carlos Lucena:
A Publish-Subscribe based Architecture for Testing Multiagent Systems. SEKE 2017: 521-526 - [c3]Tassio Ferenzini Martins Sirqueira, Marx L. Viana, Nathalia Moraes do Nascimento, Carlos Lucena:
A Software Framework for Data Provenance. SEKE 2017: 615-618 - 2016
- [c2]Jean-Pierre Briot, Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena:
A Multi-Agent Architecture for Quantified Fruits: Design and Experience. SEKE 2016: 369-374 - 2015
- [c1]Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena, Hugo Fuks:
Modeling Quantified Things Using a Multi-Agent System. WI-IAT (1) 2015: 26-32
Coauthor Index
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last updated on 2025-11-22 04:50 CET by the dblp team
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