3 papers
cs.SE2026
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…
cs.SE2026
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…
cs.SE2026
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…