Software

Software e ferramentas

Repositórios de código com identificador persistente. Software não é artigo: tem versão e estado de manutenção, não revista nem página.

11 repositórios, 11 com DOI, 10 ativos em 2026-09-21

Estado medido em 2026-09-21: ativo = push nos últimos 183 dias; arquivado = marcado assim no GitHub; o resto, manutenção mínima.

Software não é artigo

Software tem versão e estado; artigo tem data e texto. Aqui nada tem revista, volume ou página. Quem chega por link direto lê "Software" no próprio item.

DOI de conceito e DOI de versão

Conceito identifica todas as versões e resolve para a mais recente: use para falar do software em geral. Versão identifica a que rodou: use para reproduzir um resultado.

SoftwareVersão 1.7.1ativo2026-08-16

Block storage decides the bill: audited public-cloud price capture and a deterministic 36-month TCO model

Audited public-cloud price capture (IBM Cloud br-sao, AWS sa-east-1, 2026-08-13) and a deterministic 36-month TCO model: block storage alone is USD 110,507 apart over the horizon.

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.21955051
DOI desta versão: https://doi.org/10.5281/zenodo.21968989
Repositório: github.com/ulissesflores/block-storage-tco
Licença · Linguagem: Apache-2.0 · HTML

Cite este software

Flores, Carlos Ulisses (2026). Block storage decides the bill: audited public-cloud price capture and a deterministic 36-month TCO model (Version 1.7.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21968989

SoftwareVersão 1.0.0ativo2026-08-15

llm-memory-meter: measuring the real memory footprint of a local LLM from its official configuration

Measure the real memory footprint of a local LLM from its official config.json — the viral one-line KV-cache formula overestimates a 2026 hybrid model by up to 20x. Zero dependencies, every published number locked by tests.

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.21941274
DOI desta versão: https://doi.org/10.5281/zenodo.21941290
Repositório: github.com/ulissesflores/llm-memory-meter
Licença · Linguagem: Apache-2.0 · Python
Companheiro de (isSupplementTo): ulissesflores.com/artigos/memoria-llm-local

Cite este software

Flores, Carlos Ulisses (2026). llm-memory-meter: measuring the real memory footprint of a local LLM from its official configuration (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21941290

SoftwareVersão 1.0.0ativo2026-08-11

claude-bootstrap — opinionated Claude Code project scaffolder

Detection-first, profile-based scaffolder for Claude Code projects — emits a full .claude/ tree with license-audited, provenance-pinned skill bundles

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.21894809
DOI desta versão: https://doi.org/10.5281/zenodo.21894824
Repositório: github.com/ulissesflores/claude-bootstrap
Licença · Linguagem: MIT · Python

Cite este software

Flores, Carlos Ulisses (2026). claude-bootstrap — opinionated Claude Code project scaffolder (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21894824

SoftwareVersão 1.0.0ativo2026-08-26

noisy-tv-instrumentation: measurement-noise capture in the intrinsic-motivation instrumentation of LLM agents

Execution-verified companion for 'Noisy-TV em agentes LLM': the noisy-TV problem reborn in the measurement channel of LLM-agent intrinsic motivation

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.21764607
DOI desta versão: https://doi.org/10.5281/zenodo.21764625
Repositório: github.com/ulissesflores/noisy-tv-instrumentation
Licença · Linguagem: Apache-2.0 · Python

Cite este software

Flores, Carlos Ulisses (2026). noisy-tv-instrumentation: measurement-noise capture in the intrinsic-motivation instrumentation of LLM agents (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21764625

SoftwareVersão 1.0.0ativo2026-06-20

Blast-Radius Containment: a reproducible Monte Carlo model of ransomware lateral propagation under Zero Trust microsegmentation

Reproducible Monte Carlo model of ransomware lateral propagation and its containment by Zero Trust microsegmentation and behavioral detection.

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.20769939
DOI desta versão: https://doi.org/10.5281/zenodo.20769940
Repositório: github.com/ulissesflores/blast-radius-containment
Licença · Linguagem: Apache-2.0 · Python

Cite este software

Flores, Carlos Ulisses (2026). Blast-Radius Containment: a reproducible Monte Carlo model of ransomware lateral propagation under Zero Trust microsegmentation (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.20769940

SoftwareVersão 1.0.3ativo2026-05-18

ASP — Anticipating Shadow Points

Claude Code skill: Ant-Shadow-Point planning protocol with claude -p /goal subprocess execution kernel. Pre-mortem + Berkeley MAST 14-mode + validator subagent + non-violation TaskCreate contract. Multilingual docs (EN/ES/PT/IT/HE), MIT.

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.20276631
DOI desta versão: https://doi.org/10.5281/zenodo.20277015
Repositório: github.com/ulissesflores/anticipating-shadow-points
Licença · Linguagem: MIT · Python

Cite este software

Flores, Carlos Ulisses (2026). ASP — Anticipating Shadow Points (Version 1.0.3) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.20277015

SoftwareVersão 0.3.2ativo2026-05-10

Cellular Inference Mesh: Salabim DES of edge-cloud LLM inference under PACELC saturation

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.20108648
DOI desta versão: https://doi.org/10.5281/zenodo.20109260
Repositório: github.com/ulissesflores/cellular-inference-mesh
Licença · Linguagem: Apache-2.0 · Python

Cite este software

Flores, Carlos Ulisses (2026). Cellular Inference Mesh: Salabim DES of edge-cloud LLM inference under PACELC saturation (Version 0.3.2) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.20109260

SoftwareVersão 1.0.0ativo2026-04-02

TechGrowth DES: Stochastic Simulation of Kafka-Flink-Iceberg Pipeline with PACELC Network Partition Injection

Discrete-event simulation of Kafka-Flink-Iceberg pipelines under PACELC and network-partition stress.

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.19244058
DOI desta versão: https://doi.org/10.5281/zenodo.19244059
Repositório: github.com/ulissesflores/mit508-techgrowth-des
Licença · Linguagem: Apache-2.0 · Python

Cite este software

Flores, Carlos Ulisses (2026). TechGrowth DES: Stochastic Simulation of Kafka-Flink-Iceberg Pipeline with PACELC Network Partition Injection (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.19244059

SoftwareVersão 2.0.0manutenção mínima2026-02-15

Yape Architecture Simulation: Monolith vs. Cell-Based Resilience

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.18641335
DOI desta versão: https://doi.org/10.5281/zenodo.18645894
Repositório: github.com/ulissesflores/mit507-yape-architecture-sim
Licença · Linguagem: Apache-2.0 · Jupyter Notebook

Cite este software

Flores, Carlos Ulisses (2026). Yape Architecture Simulation: Monolith vs. Cell-Based Resilience (Version 2.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.18645894

SoftwareVersão 0.1.1ativo2026-05-11

LLM Contextizer

Zero-dependency Python CLI for turning codebases into token-efficient contexts for LLMs and research workflows.

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.18343437
DOI desta versão: https://doi.org/10.5281/zenodo.18343438
Repositório: github.com/ulissesflores/repo2llm
Licença · Linguagem: Apache-2.0 · Python

Cite este software

Flores, Carlos Ulisses (2026). LLM Contextizer (Version 0.1.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.18343438

SoftwareVersão 0.1.1ativo2026-04-02

Cyber-Financial Resilience via Little's Law and Bayesian LSTM (LR-BLSTM)

Research software for cyber-financial resilience modeling with stochastic systems, Little\'s Law, and LSTM forecasting.

DOI de conceito (todas as versões): https://doi.org/10.5281/zenodo.18275034
DOI desta versão: https://doi.org/10.5281/zenodo.18275035
Repositório: github.com/ulissesflores/cyberfinancial-resilience-lrblstm
Licença · Linguagem: Apache-2.0 · Python

Cite este software

Flores, Carlos Ulisses (2026). Cyber-Financial Resilience via Little's Law and Bayesian LSTM (LR-BLSTM) (Version 0.1.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.18275035