10 citations · 10 across the 8 of their papers we have counts for
10 papers
Semi-Automatic Quantification of Bayesian Networks for Software Decision Support: Comparing WSA and RNM in a Software R&D Organization
Mirko Perkusich, João Nunes, Emilia Mendes +5
Expert-driven Bayesian networks can support recurring software decisions when historical data are limited, but quantifying their conditional probability tables (CPTs) requires many…
Towards a Characterization of Microservice Architectures Generated by Large Language Models
José Renan, Ademar Sousa, Emanuel Dantas +4
Large Language Models (LLMs) are increasingly used for software design tasks, yet little is known about the structure and coherence of the architectures they produce. In particular…
Structural Validation of LLM-Generated Microservice Decompositions Using Source-Code Dependencies
Daniel Silva, Renan Alves, Emanuel Dantas Filho +5
Decomposing monolithic systems into microservices is a key activity in software modernization. Although Large Language Models (LLMs) can generate semantically plausible decompositi…
From Textual Requirements to Microservice Architectures - A Comprehensive Evaluation of LLM-Based Design Synthesis
Danyllo Albuquerque, José Renan, Guillermo Rodríguez +5
Microservice architectures have become dominant for modernizing monolithic systems, yet identifying appropriate services remains challenging and largely manual. Existing decomposit…
Prompting GPT-5 on Scrum Certification Questions: An Empirical Accuracy Study
Mirko Perkusich, Danyllo Albuquerque, João Paiva +6
Large Language Models (LLMs) are increasingly used in Agile Software Development for documentation, coaching, and training. As practitioners adopt these tools to prepare for certif…
Comparing Large Language Models on Scrum Certification-Style Questions: Accuracy, Stability, and Error Patterns
Robson Alves Vilar, Emanuel Dantas Filho, Ademar França de Sousa Neto +5
Large Language Models (LLMs) are increasingly used in exam- and certification-style question answering tasks, where their ability to retrieve, interpret, and apply domain-specific…
Internet of Things Security: A Survey on Common Attacks
Dalton Cézane Gomes Valadares, Luiz Antonio Pereira Silva, Daniel Hindemburg de Miranda Marques +5
The exponential growth of the Internet of Things (IoT) has integrated connected devices into various sectors like smart cities, digital health, and Industry 4.0, generating vast am…
On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy
Luiz Pereira, Mirko Perkusich, Dalton Valadares +1
Federated Neuromorphic Learning (FNL) enables energy-efficient and privacy-preserving learning on devices without centralizing data. However, real-world deployments require additio…
Secure Cloud Storage with Client-Side Encryption Using a Trusted Execution Environment
Marciano da Rocha, Dalton Cézane Gomes Valadares, Angelo Perkusich +3
With the evolution of computer systems, the amount of sensitive data to be stored as well as the number of threats on these data grow up, making the data confidentiality increasing…
802.11g Signal Strength Evaluation in an Industrial Environment
Dalton Cézane Gomes Valadares, Joseana Macêdo Fechine Régis de Araújo, Marco Aurélio Spohn +3
The advances in wireless network technologies and Industrial Internet of Things (IIoT) devices are easing the establishment of what is called Industry 4.0. For the industrial envir…