This systematic mapping study investigates how software reference architectures have been evaluated in the literature. It identifies and classifies evaluation methods, criteria, and quality attributes commonly addressed. The findings reveal gaps in current evaluation practices and offer directions for improving the assessment of reference architectures.
This study reviews the state of the art on combining simulation with optimization and machine learning techniques for evaluating system architectures at design time. From 1,342 studies, 87 were selected, revealing a variety of combinations but isolated efforts lacking maturity. The work identifies research opportunities for discovering the benefits of such integrations.
This experience report describes using LLMs throughout a systematic mapping study, detailing steps, adjustments, and challenges faced. Positive aspects include significant time reduction in repetitive tasks and greater data extraction standardization. Negative aspects include effort building reliable prompts, hallucinations, and the need for constant manual verification.
This paper presents a low-cost IoT system for autonomous environmental regulation in poultry farming, targeting small-scale production in Brazil. The architecture integrates monitoring, automation, and data analytics via LoRa/Wi-Fi, ThingSpeak Cloud, and a custom web platform. Results show that monitored chickens exhibited accelerated growth under stable environmental conditions maintained by the IoT system.
This tertiary review synthesizes 15 secondary studies on fake news detection, focusing on Deep Learning, health misinformation, and recent trends (2022-2023). Results show consistent reliance on NLP and Deep Learning for text classification and fabricated media detection. Key challenges include echo chambers, cross-domain applications, early detection needs, and threats from generative models.
Este artigo apresenta um mapeamento sistemático sobre técnicas e algoritmos de IA aplicados ao Schema Matching frente à crescente complexidade da integração de dados. A IA surge como solução promissora para aprimorar a eficiência desse processo. Os insights obtidos orientam pesquisadores e profissionais na integração de dados via Schema Matching.
This systematic mapping explores the use of LLMs for qualitative research, covering application contexts, configurations, methodologies, and evaluation metrics. Findings show LLMs can automate processes traditionally requiring extensive human input across diverse fields. However, challenges like prompt engineering reliance, inaccuracies, and contextual limitations remain significant barriers.
Este mapeamento sistemático investiga a aplicação de princípios de governança em Sistemas-de-Sistemas (SoS), analisando 40 estudos selecionados de 804 encontrados em seis bases de dados. Os resultados mostram que apenas 35% dos estudos apresentam aplicação prática da governança em SoS. Nenhum estudo aborda como avaliar o uso da governança em cenários de SoS, indicando oportunidades de pesquisa futura.
Este trabalho investiga técnicas e algoritmos de Inteligência Artificial mais utilizados em aplicações de Schema Matching por meio de um mapeamento sistemático da literatura. A IA é apresentada como solução promissora diante da crescente complexidade na integração de dados. Os resultados oferecem orientação para pesquisadores que buscam aprimorar a integração de dados.
This survey-based study gathers and reports challenges faced by Information Systems (IS) courses from professors' perspectives in Brazil. Qualitative analysis using coding procedures reveals difficulties such as student dropout, novel careers, and market waves. Results highlight the need for continuous professor training, institutional support policies, hybrid courses, and flexible scheduling.
This systematic mapping investigates the proposition of benchmarks in software testing and debugging, analyzing 25 studies from 1,674 identified. The main motivation for new benchmarks is the lack of data to compare existing and novel techniques. The study concludes that standardization of benchmark structure and composition is still needed to encourage reuse.
This paper presents SoPaMM, a metamodeling approach that aligns requirements and testing through requirement and test patterns, using user stories with executable behaviors. The approach addresses the weak alignment between requirements and testing that causes cost, rework, and delays. SoPaMM's quality properties are evaluated against a metamodel quality evaluation framework.
This work explores the architectural aspects of Systems-of-Systems (SoS), providing insights into how independent systems combine to deliver complex functionalities. It addresses key concerns such as interoperability, independence, and emergent behavior in SoS architectures. The study contributes foundational knowledge for designing and understanding SoS software architectures.
This systematic mapping study reports how IoT systems support agricultural activities, selecting 35 primary studies from Scopus and Embrapa repositories. Despite various solutions targeting planting monitoring and irrigation, several opportunities remain. These include automated decision-making, edge computing with machine learning, and solutions to reduce production costs and ecological impacts.
This study extends prior work by compiling strategies to improve Executable Models (ExM) notations based on a survey with 58 software engineering professionals. Results indicate that executable languages still require advancements to foster significant adoption in practice. Proposed strategies focus on robustness, visual representation, usability, and user support improvements.
This article investigates the feasibility and effectiveness of applying the flipped classroom methodology to teaching Artificial Intelligence courses. A mixed qualitative and quantitative methodology combined with discourse analysis was applied to assess results. The findings were satisfactory, indicating the potential of the flipped classroom for AI education.
Este estudo explora o uso da gamificação como mecanismo de apoio ao ensino de decisões arquiteturais em arquitetura de software. Os alunos enfrentam dificuldades para abstrair conceitos complexos e tomar decisões adequadas para problemas específicos. Os resultados sugerem que a abordagem contribui significativamente para motivar e envolver os discentes no processo de ensino-aprendizagem.
This article explores the significant role of the Internet of Things (IoT) in advancing Agro 4.0 in Brazil. It examines current IoT trends, benefits, and challenges within the Brazilian agriculture industry. The work provides an overview of how IoT technologies are being adopted to modernize agribusiness practices.
This paper proposes RAISE, a Reference Architecture for healthcare Information Systems with coded terminology support. It describes how modern HCIS acquire, integrate, analyze, and explore heterogeneous health data for multiple stakeholders. The layered architecture includes components for acquisition, extraction, preprocessing, and semantic annotation of healthcare data.
Este trabalho aborda a aplicação de técnicas de análise de dados no contexto da gestão organizacional. Discute como métodos analíticos podem apoiar a tomada de decisão e otimizar processos gerenciais. O estudo contribui com perspectivas sobre o uso de dados como ferramenta estratégica na administração.
This paper provides a comprehensive overview of digital tracking technologies used during the COVID-19 pandemic, analyzing 47 contact tracing mobile applications. It examines how IoT-based surveillance helped track individuals and exposure risks to curb virus spread. The discussion also addresses privacy concerns and technological/social limitations hindering widespread adoption.
This article provides a panoramic overview of existing solutions incorporating blockchain to combat COVID-19 in healthcare, along with their benefits and challenges. It recognizes the distributed nature of health services and blockchain's potential to support them. A framework is proposed to facilitate new research activities on blockchain for pandemic response.
This research investigates difficulties that computer science teachers face implementing flipped classes during COVID-19, considering collaborative problem-solving and regulatory strategies. Results indicate significant difficulties in understanding effective use of active methodologies and comprehending students’ learning profiles. The study highlights challenges in preparing, planning, and fostering learning in this context.
This paper reports results of a systematic literature review on blockchain in healthcare, covering monitoring, medical records, and insurance claims. It categorizes existing benefits and challenges of incorporating blockchain in healthcare and provides a research framework. The work establishes the state of evidence with an in-depth assessment and roadmap for future research.
Este mapeamento sistemático investiga o uso de arquiteturas de referência (AR) em Sistemas-de-Sistemas (SoS), que frequentemente envolvem Sistemas de Informação como constituintes. Uma AR pode reunir requisitos e detalhes de design para habilitar sistemas a se tornarem constituintes de um SoS. O estudo contribui com uma visão geral sobre interoperabilidade e independência operacional e gerencial dos constituintes.
This study analyzes 1,000 job advertisements for software testing roles in the United States to understand employer demands. It investigates required competencies including education, testing skills, technical skills, and soft-skills. The research also examines essential duties and correlated skills shaping the profile of the modern software tester.
This work presents Four4SaS, a collection of architectural knowledge and rationale for designing Self-Adaptive Systems (SaS) that modify behavior at runtime. The solutions encompass well-known architectural patterns with benefits and drawbacks for SaS, balancing quality attributes and adaptive capabilities. Four4SaS was validated by designing a river monitoring SaS and can serve as a backbone for future developments.
Editorial Vol. 13, No 3
Dynamic-SoS predicts SoS architectural behavior at design time to assess whether operations can be sustained at runtime. It characterizes dynamic architectural changes through well-defined operators and automatically incorporates a reconfiguration controller for SoS simulation. Case studies show it enhances SoS quality by enabling prior assessment of their dynamic architecture.
Dynamic-SoS predicts SoS architectural behavior at design time to assess whether operations can be sustained at runtime. It characterizes dynamic architectural changes through well-defined operators and automatically incorporates a reconfiguration controller for SoS simulation. Case studies show it enhances SoS quality by enabling prior assessment of their dynamic architecture.
The paper corresponds to the results obtained during the internship of the student Alexandre Delécolle. He spent three months under Prof. Valdemar’s supervision and the paper was accepted in the main conference on Systems-of-Systems (SoS) in the world.
The main contribution of this paper is to exploit how to design a software architecture for systems that are intended to become part of a SoS in the future. We conducted a software architecture design process to conceive a constituent architecture for Urban Mobility domain as CS.
S.O.B. is a simulation-based method for early prediction of acquisition costs of constituents within a System-of-Systems at design time. It considers quality attributes, suppliers, and their combinations to support architects in selecting the best cost-benefit coalition. A case study in the Smart Building domain demonstrated the method's effectiveness in accurate cost prediction.
This systematic review identifies, extracts, and synthesizes studies on blockchain adoption in healthcare, covering data monitoring, medical records, and insurance claims. It categorizes benefits and challenges of blockchain in the healthcare domain and proposes a framework for future research. The paper establishes the state of evidence with an in-depth assessment.
This paper presents preliminary results from a literature review on blockchain adoption to manage Electronic Health Records (EHR) in health systems. It discusses how blockchain can support unified records management, improve data security and privacy, and facilitate insurance decisions. The work highlights both benefits and challenges of blockchain technology for EHR.
This paper investigates how blockchain's inherent characteristics can enhance or hinder quality requirements in healthcare systems, where security and data integrity are critical. Preliminary results from a literature review analyze five essential quality requirements for the healthcare domain. The work points to advances still needed for blockchain-based healthcare systems.
The main contribution of this paper is offering evidence to support the premise of M&S be a promising paradigm for software engineering, including in smart cities domain. We report findings on a study carried out for assessing, via M&S, two architectures for a Public Street Lighting System (PSLS) of a smart city.
This paper presents results of a Systematic Mapping (SM) carried out to investigate the status quo of SoIS domain. We bring a panorama of this research topic and also indicate research perspectives. From a set of 212 studies, 25 were selected, analyzed and had their data extracted.
This systematic mapping study identifies influence factors for interoperability in Systems-of-Information Systems (SoIS), which require interoperability to deliver complex functionalities. Establishing interoperability links is a significant challenge, often proving difficult, time-consuming, and error-prone. The study provides solutions to support interoperability between information systems to meet novel demands.
Stimuli-SoS is a model-based approach that automates the creation of stimuli generators for SoS simulations by transforming SoSADL descriptions into DEVS simulation models. A case study on flood monitoring simulated 38 days in 6 hours, being 65 times more productive than manual approaches. The work demonstrates automation and productivity gains for SoS architecture simulation.
This systematic literature review investigates how software architectures for Systems of Systems (SoS) are described in the literature. It reveals significant contributions but a lack of consensus on the best description approaches. The authors offer directions for achieving consensus and identify aspects of SoS architectural descriptions needing further research.
This paper explores the application of Model-Driven Development (MDD) in the context of Systems-of-Systems (SoS), which are complex alliances of independent software systems. It investigates how MDD approaches can support the engineering of SoS architectures. The study contributes to understanding the role of model-based techniques in SoS development.