6 papers
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…
AI-Conducted Interviews in Empirical Software Engineering: An Experience Report
Rohit Gheyi, Danyllo Albuquerque, Márcio Ribeiro +1
Semi-structured interviews are widely used in empirical software engineering (ESE), but they are resource-intensive and difficult to coordinate across schedules, locations, and nat…
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…
Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners
Mirko Perkusich, Danyllo Albuquerque, Allysson Allex Araújo +4
Scrum is widely adopted in software project management due to its adaptability and collaborative nature. The recent emergence of Large Language Models (LLMs) has created new opport…