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Universidade Federal Fluminense

Academic institutionsouthamerica · br
Official website
Research library36linked papers
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Selected work

Representative Papers

On the Influence of Refactoring Types on Merge Effort

Aug 15, 2026

This study addresses the lack of quantitative analysis regarding how specific refactoring types affect code merge costs. Analyzing 64 Java projects through refactoring detection and association rule mining, this work provides the first fine-grained quantification of the independent and synergistic impacts of individual refactorings and their combinations on merge effort. Results indicate that refactorings such as attribute renaming significantly increase merge costs, while the volume, diversity, and cross-branch co-occurrence of refactorings independently elevate merge effort. By elucidating the intrinsic mechanisms through which refactorings induce merge conflicts, this research offers empirical evidence to inform and optimize code merging strategies.

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Beyond persuasion: Mobile electoral interfaces in polarized societies

Aug 13, 2026

In highly polarized societies, traditional electoral models struggle to account for the coexistence of voter stability and localized mobility. This study proposes a parsimonious dynamical model that partitions the electorate into two stable partisan blocs and a mobile group, employing a Fermi-like probabilistic rule from statistical physics to govern the dynamic allocation of mobile voters. Central to this framework is a moving electoral interface, which serves as the core of a new paradigm for understanding polarization dynamics. Theoretical analysis reveals that macroscopic electoral responses are primarily driven by fluctuations of this interface rather than large-scale ideological shifts. Moreover, the system’s sensitivity to external perturbations scales linearly with the steady-state size of the mobile interface, uncovering a continuous mechanism that bridges frozen polarization and highly responsive electoral states.

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Corruption as a self-sustained collective state in political systems

Jul 22, 2026

This study explains how systemic political corruption can persist over extended periods without centralized coordination. By constructing a parsimonious compartmental dynamical model and integrating mean-field approximation, phase transition analysis, and stability theory, the work conceptualizes corruption as a macro-level emergent phenomenon arising from the co-evolution of political power concentration and supportive relational structures. The model demonstrates that corruption stabilizes through self-reinforcing mechanisms into a collective state and identifies a critical threshold of interaction strength: beyond this point, the system enters a “corruption-captured” regime capable of autonomously recovering from perturbations, thereby sustaining corruption across electoral cycles. This framework transcends conventional explanatory paradigms centered on individual misconduct or institutional failure, offering a novel perspective on the systemic nature and resilience of corruption.

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Recent publications

Latest Papers

On the Influence of Refactoring Types on Merge Effort

Aug 15, 2026

This study addresses the lack of quantitative analysis regarding how specific refactoring types affect code merge costs. Analyzing 64 Java projects through refactoring detection and association rule mining, this work provides the first fine-grained quantification of the independent and synergistic impacts of individual refactorings and their combinations on merge effort. Results indicate that refactorings such as attribute renaming significantly increase merge costs, while the volume, diversity, and cross-branch co-occurrence of refactorings independently elevate merge effort. By elucidating the intrinsic mechanisms through which refactorings induce merge conflicts, this research offers empirical evidence to inform and optimize code merging strategies.

0 citationsRead paper

Beyond persuasion: Mobile electoral interfaces in polarized societies

Aug 13, 2026

In highly polarized societies, traditional electoral models struggle to account for the coexistence of voter stability and localized mobility. This study proposes a parsimonious dynamical model that partitions the electorate into two stable partisan blocs and a mobile group, employing a Fermi-like probabilistic rule from statistical physics to govern the dynamic allocation of mobile voters. Central to this framework is a moving electoral interface, which serves as the core of a new paradigm for understanding polarization dynamics. Theoretical analysis reveals that macroscopic electoral responses are primarily driven by fluctuations of this interface rather than large-scale ideological shifts. Moreover, the system’s sensitivity to external perturbations scales linearly with the steady-state size of the mobile interface, uncovering a continuous mechanism that bridges frozen polarization and highly responsive electoral states.

0 citationsRead paper

Corruption as a self-sustained collective state in political systems

Jul 22, 2026

This study explains how systemic political corruption can persist over extended periods without centralized coordination. By constructing a parsimonious compartmental dynamical model and integrating mean-field approximation, phase transition analysis, and stability theory, the work conceptualizes corruption as a macro-level emergent phenomenon arising from the co-evolution of political power concentration and supportive relational structures. The model demonstrates that corruption stabilizes through self-reinforcing mechanisms into a collective state and identifies a critical threshold of interaction strength: beyond this point, the system enters a “corruption-captured” regime capable of autonomously recovering from perturbations, thereby sustaining corruption across electoral cycles. This framework transcends conventional explanatory paradigms centered on individual misconduct or institutional failure, offering a novel perspective on the systemic nature and resilience of corruption.

0 citationsRead paper