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International Conference on software engineering (ICSE)

作者： M.M. de Oliveira A.R. Rocha K. Chaves Weber Computer Science Department Catholic University of Brasilia Brazil Graduate School of Engineering-COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Quality and Productivity Software Program/ Software Sub-committee Society for the Promotion of Excellence in Brazilian Software SOFTEX Brazil

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Very short-term solar forecasting using multi-agent system based on Extreme Learning Machines and data clustering

Very short-term solar forecasting using multi-agent system b...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Carlos Severiano Frederico Gadelha Guimarães Miri Weiss Cohen Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte MG Brazil Department of Electrical Engineering Federal University of Minas Gerais Belo Horizonte Brazil Department of Software Engineering ORT Braude College of Engineering Karmiel Israel

This paper proposes a new multi-agent system to solve very short-term solar forecasting problems. The system organizes the training data into clusters using Part and Select Algorithm. These clusters are used to generate different forecasting models, where each one is performed by a different agent. Finally, another agent is responsible for deciding which model will be applied at each forecasting situation. Results present improvements in forecasting accuracy and training performance if compared to other forecasting methods. A discussion of how to use this architecture for the implementation of a more comprehensive model is also addressed.

关键词： Forecasting Predictive models Time series analysis Correlation Multi-agent systems Training Power grids

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Investigating the Link between User Stories and Documentation Debt on software Projects

Investigating the Link between User Stories and Documentatio...

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International Conference on Information Technology: New Generations (ITNG)

作者： Henrique F. Soares Nicolli S.R. Alves Thiago S. Mendes Manoel Mendonça Rodrigo O. Spínola Graduate Program in Systems and Computer at Salvador University Salvador Brazil Fraunhofer Project Center for Software and System Engineering at UFBA Salvador Brazil Federal Institute of Bahia - IFBA Salvador Brazil

Technical debt is a metaphor that describes the effect of immature artefacts in software development. One of its types is documentation debt, which can be identified by locating missing, inadequate or incomplete artefacts in software projects. Nowadays, we can observe more organizations using agile methods to support their activities. In particular, the use of user stories reduces the focus on requirement specification tasks and, as a consequence, creates difficulties that need to be overcame by the development team. In order to investigate these difficulties and assess whether they create a favourable scenario for incurring documentation debt, this paper presents the results of a literature review and an exploratory study. The results from both studies allowed us to identify a list of causes that can lead the development team to incur documentation debt when working with agile requirements. This is an important step in order to manage the technical debt from a preventive perspective.

关键词： software Documentation Bibliographies Protocols Libraries software engineering Estimation

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Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research

arXiv

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arXiv 2023年

作者： Tanyel, Toygar Ayvaz, Serkan Keserci, Bilgin Biomedical Engineering Graduate Program Istanbul Technical University Turkey Centre for Industrial Software Maersk Mc-kinney Moeller Institute University of Southern Denmark Denmark Department of Biomedical Engineering Yildiz Technical University Turkey

The field of explainability in artificial intelligence (AI) has witnessed a growing number of studies and increasing scholarly interest. However, the lack of human-friendly and individual interpretations in explaining the outcomes of machine learning algorithms has significantly hindered the acceptance of these methods by clinicians in their research and clinical practice. To address this issue, our study uses counterfactual explanations to explore the applicability of "what if?" scenarios in medical research. Our aim is to expand our understanding of magnetic resonance imaging (MRI) features used for diagnosing pediatric posterior fossa brain tumors beyond existing boundaries. In our case study, the proposed concept provides a novel way to examine alternative decision-making scenarios that offer personalized and context-specific insights, enabling the validation of predictions and clarification of variations under diverse circumstances. Additionally, we explore the potential use of counterfactuals for data augmentation and evaluate their feasibility as an alternative approach in our medical research case. The results demonstrate the promising potential of using counterfactual explanations to improve AI-driven methods in clinical research. © 2023, CC BY-NC-SA.

关键词： Pediatrics

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Asynchronous collaboration: Achieving shared understanding beyond the first 100 meters

Asynchronous collaboration: Achieving shared understanding b...

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113th Annual ASEE Conference and Exposition, 2006

作者： Sangwan, Raghvinder Jablokow, Kathryn Bass, Matt Paulish, Dan Pennsylvania State University United States Department of Information Science School of Graduate Professional Studies Pennsylvania State University United States Technical Staff at Siemens Corporate Research Pennsylvania State University Great Valley United States Department of Mechanical Engineering Great Valley School of Graduate Professional Studies Pennsylvania State University United States Siemens Corporate Research United States Technical Staff for the Software Architecture Program Siemens Corporate Research United States

Motivated by a real-world example from the domain of software product development, we discuss some of the key factors that impact shared understanding among collaborating teams in general, along with specific implications of those factors for asynchronous collaboration in particular. Shared understanding is viewed through the lens of Kirton's Adaption-Innovation theory, a powerful framework for understanding problem solving that provides insights on the creative behavior of individuals and the convergence and divergence of collaborating teams. Proposed research directions are suggested for the future, and implications of this work for engineering education are discussed as well. © American Society for engineering Education, 2006.

关键词： Learning systems

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The beauty of software architecture

The beauty of software architecture

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Working IEEE/IFIP Conference on software Architecture

作者： Céline Madeleine Aldenhoven Ralf Sascha Engelschall Software Engineering (Elite Graduate Program) Technical University of Munich Ludwig-Maximilian-University of Munich University of Augsburg Munich and Augsburg Germany msg Research msg Systems AG Ismaning Germany

The concept of beauty has fascinated humans since the beginning of their existence. To inspire research questions on the beauty of software architecture, we use the progress in other areas, like civil architecture and plastic surgery. Our most important findings are that practitioners view software architecture as beautiful if it reduces their effort to work with it and that the beauty of software architecture greatly impacts the happiness and motivation of the developers working on it. Overall, this research paper gives insights into the definition of beautiful software architecture in practice and explains its importance. Additionally, we propose ways to create beautiful software architecture and teach it. The focus on beauty in software architecture is essential in mid- to large-sized projects to increase the developers’ happiness and, therefore, the quality of the product.

关键词： Productivity software architecture Unified modeling language Surgery software Product design Quality assessment

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AI-Empowered Data Offloading in MEC-Enabled IoV Networks

arXiv

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arXiv 2022年

作者： Fontes, Afonso de Ribeiro, Igor L. Muhammad, Khan Gandomi, Amir H. Gay, Gregory de Albuquerque, Victor Hugo C. Chalmers The University of Gothenburg Gothenburg Sweden University of Fortaleza CE Fortaleza Brazil Department of Software Sejong University Seoul Korea Republic of Faculty of Engineering & Information Technology University of Technology Sydney Australia Graduate Program on Teleinformatics Engineering Federal University of Ceará Fortaleza CE Fortaleza Brazil Graduate Program on Electrical Engineering Federal University of Ceará CE Fortaleza Brazil

Advancements in smart vehicle design have enabled the creation of Internet of Vehicle (IoV) technologies that can utilize the information provided by various sensors and wireless communication to perform complex functionality. Many of these functionalities rely on high computational power and low latency. Mobile Edge Computing (MEC) technologies have been proposed as a way to meet these requirements, as their proximity and decentralization provide unique benefits for networks like real-time communication, higher throughput, and flexibility. Diverse challenges to the process of offloading data in a MEC-enabled IoV network have emerged, such as offloading reliability in highly mobile environments, security for users within the same network, and energy management to keep users from being disincentivized to participate in the network. This article surveys research studies that use AI as part of the data offloading process, categorized based on four main issues: reliability, security, energy management, and service seller profit. Afterward, this article discusses challenges and future perspectives for IoV technologies. © 2022, CC BY-SA.

关键词： Mobile edge computing

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A Model-Driven Approach for Interoperability Among SaaS and DaaS/DBaaS: The MIDAS Case

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SN Computer Science 2022年第4期3卷 301页

作者： Mane, Babacar Mascarenhas, Ana Patrícia F. Magalhães Quinteiro, Gustavo Maciel, Rita Suzana Pitangueira Claro, Daniela Barreiro Formalisms and Semantic Applications Research Group (FORMAS) Institute of Computing Federal University of Bahia Av. Milton Santos Ondina Bahia Salvador 40170-110 Brazil Models for Software Engineering (MAtisse) Department of Exact Sciences and Earth State University of Bahia 2555 Silveira Martins St. Cabula Bahia Salvador Brazil Post Graduate Program in Computing and Systems Salvador University 251 Dr. Jose Peroba St. Bahia Salvador Brazil Models for Software Engineering (MAtisse) Institute of Computing Federal University of Bahia Av. Milton Santos Ondina Bahia Salvador 40170-110 Brazil

Cloud Platforms are heterogeneous, and users may face interoperability issues migrating applications or exchanging data among distinct clouds due, for instance, to the lack of standards solutions. Several solutions have been proposed to overcome lock-in situations, and middleware platforms are one of them. A semantic interoperability solution named middleware for Data as a Service (DaaS)/Database as a Service (DBaaS) and software as a Service (SaaS)—MIDAS has been developed to overcome this lock-in issue. It is an intermediate communication layer to retrieve data from DaaS or DBaaS through a Structured Query Language (SQL) or a Not Only SQL (NoSQL) created at the SaaS level. MIDAS is a platform for software execution, but software development needs support for its entire life cycle. Therefore, we propose the Model drIven Approach for MIDAS (MIAMI), which enables the specification of platform-independent middleware models and their use to generate code on different cloud platforms. MIAMI comprises a Domain-Specific Modeling Language (DSML) that enables middleware models and a transformation specification, which defines how these models can be converted to code. MIAMI offers a strategy for MIDAS specification and code generation phases to help middleware developers’ activities. MIAMI was applied to code generation specifications in Cloud Foundry, Amazon Web Services, OpenShift, and Heroku providers to evaluate our approach. This specification shows MIAMI’s feasibility and points out that MDD is a promising approach to improving cloud interoperability solutions. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Cloud computing Interoperability Metamodel Model-driven development

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Case Study of Service Oriented Enterprise Architecture Framework

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Computer Technology and Application 2012年第3期3卷 240-249页

作者： Nassir Dino Awel Dico Dida Midekso Worku Alemu Software Engineering Track IT Doctoral Program Addis A baba University Addis A baba P. O. BOX 1176 Ethiopia Graduate Programme HiLCoE School of Computer Science ＆ Technology Addis Ababa P.O.BOX 33465 Ethiopia

Many organizations have now adopted Service Oriented Architecture （SOA） as an architectural style to help them with architecture, design and implementation of their core services and systems. Most of these organizations are challenged in integrating SOA style with their overall Enterprise Architecture work. This framework links an SOA style with the Enterprise Architecture （EA） methodologies to help organizations organize their SOA effort as a key part of their Enterprise Architecture. The case study demonstrates the implementation of architecture goal with organization vision in service oriented organizational structure using services that align Business with Technology. The framework is validated and has reserved the privileges of SOA and EA.

关键词： SOA （service oriented architecture） EA （enterprise architecture） service oriented enterprise （SOE） SOE strategicarchitecture SOE domain architecture SOE solution architecture SOE lifecycle service oriented enterprise architecture （SOEA）framework.

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Dimensioning Microwave Wireless Networks

Dimensioning Microwave Wireless Networks

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IEEE International Conference on Communications

作者： Alvinice Kodjo Brigitte Jaumard Napoleao Nepomuceno Mejdi Kaddour David Coudert Inria France & Univ. Nice Sophia Antipolis Department of Computer Science and Software Engineering Concordia University Montreal Graduate Program in Applied Informatics University of Fortaleza Department of Computer Science University of Oran

ISBN: (纸本)9781467364300

We aim at dimensioning fixed broadband microwave wireless networks under unreliable channel conditions. As the transport capacity of microwave links is prone to variations due to, e.g., weather conditions, such a dimensioning requires special attention. It can be formulated as the determination of the minimum cost bandwidth assignment of the links in the network for which traffic requirements can be met with high probability, while taking into account that transport link capacities vary depending on channel conditions. The proposed optimization model represents a major step forward since we consider dynamic routing. Experimental results show that the resulting solutions can save up to 45% of the bandwidth cost compared to the case where a bandwidth over-provisioning policy is uniformly applied to all links in the network planning. Comparisons with previous work also show that we can solve much larger instances in significantly shorter computing times, with a comparable level of reliability.

关键词： Bandwidth Modulation Pricing Reliability Microwave communication Routing

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