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Angelo Perkusich

4 papers indexed

arxivcs.SE2026-07-30

Structural Validation of LLM-Generated Microservice Decompositions Using Source-Code Dependencies

Daniel Silva, Renan Alves, Emanuel Dantas Filho, Ademar Sousa Neto, Mirko Perkusich, Danyllo Wagner Albuquerque, et al.

Decomposing monolithic systems into microservices is a key activity in software modernization. Although Large Language Models (LLMs) can generate semantically plausible decompositions from textual requirements, it remains unclear whether these proposals preserve the structural de…

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arxivcs.SEcs.AI2026-07-30

From Textual Requirements to Microservice Architectures - A Comprehensive Evaluation of LLM-Based Design Synthesis

Danyllo Albuquerque, José Renan, Guillermo Rodríguez, Guillermo Rodríguez, Emanuel Dantas, Ademar França, et al.

Microservice architectures have become dominant for modernizing monolithic systems, yet identifying appropriate services remains challenging and largely manual. Existing decomposition approaches are predominantly code-centric, limiting applicability in early design stages where o…

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arxivcs.SEcs.AI2026-06-29

Prompting GPT-5 on Scrum Certification Questions: An Empirical Accuracy Study

Mirko Perkusich, Danyllo Albuquerque, João Paiva, Robson Vilar, Emanuel Dantas, Ademar França de Sousa Neto, et al.

Large Language Models (LLMs) are increasingly used in Agile Software Development for documentation, coaching, and training. As practitioners adopt these tools to prepare for certifications such as Professional Scrum Master (PSM), a key question is whether LLMs can reliably reason…

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arxivcs.SEcs.AI2026-06-29

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, Mirko Perkusich, Danyllo Wagner Albuquerque, João Paiva, et al.

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 knowledge can be systematically assessed. In Software Engineering, such settings are particularly re…

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