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Introducing Software Process Tailoring to BPMN: BPMNt

Introducing Software Process Tailoring to BPMN: BPMNt

引用

International Conference on Software and System Process (ICSSP)

作者： Raquel M. Pillat Toacy C. Oliveira Fabio L. Fonseca Systems Engineering and Computer Science Program-PESC / COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil

BPMN 2.0 is a widely used notation to model business process that has associated tools and techniques to facilitate process management, execution and monitoring. As a result using BPMN to model Software Development Process (SDP) can leverage on the BPMN's infrastructure to improve SDP quality. Nevertheless, when using BPMN to model Software Processes one can observe the lack of an important feature: means to represent process tailoring. This article introduces the BPMNt, a conservative extension to BPMN that aims at aggregating a tailoring representation mechanism as the one found at SPEM 2.0. BPMNt uses the extensibility classes already present in the BPMN meta-model. Our work also presents an example to illustrate the approach.

关键词： Software Business Unified modeling language programming Adaptation models Standards Semantics

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Information Extraction to Improve Link Prediction in Scientific Social Networks

Information Extraction to Improve Link Prediction in Scienti...

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IEEE International Conference on computer Supported Cooperative Work in Design

作者： Victor Stroele Fernanda Campos Crystiam K. Pereira Geraldo Zimbrao Jano M. Souza PGCC - Postgraduate Program in Computer Science UFJF - Federal University of Juiz de Fora COPPE - Systems Engineering and Computer Program UFRJ - Federal University of Rio de Janeiro

ISBN: (纸本)9781509019168

Link Prediction is a classic social networks analysis problem. Knowing in advance future actions in social network can help, for example, agents decision. Link Prediction techniques are based on metrics that have different approaches. In this paper, we model a multi-relational scientific social network to assess the impact of content extraction on topological metrics. Thus, a metric composed of topological and semantic approach is proposed to solve link prediction problem. The results were compared with those presented by Katz metric.

关键词： Information Extraction Link Prediction Scientific Social Network

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Digital Nomads during the COVID-19 Pandemic: Evidence from Narratives on Reddit discussions 25

Digital Nomads during the COVID-19 Pandemic: Evidence from N...

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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： De Almeida, Marcos Antonio Correia, Antonio De Souza, Jano Moreira Schneider, Daniel Systems Engineering and Computer Science Program PESC/COPPE/UFRJ Rio de Janeiro Brazil Inesc Tec University of Trás-os-Montes e Alto Douro Vila Real Portugal Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research NCE/UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781665405270

In this paper, we report on new findings about the results of an empirical study which aims to investigate how the COVID-19 pandemic has been shaping nomadic work practices and also challenging the lifestyles of digital nomads (DN). To do this, we collected textual data from posts in a Reddit community. We argue that, in order to understand how to design technical solutions for the so-called 'new normal' working conditions, one way to approach this is to understand how digital nomads are being impacted in their work practices and routines, and also how they are seeing the future of their technology-mediated work-life space. Finally, we show how evidence collected from DNs about their experiences and difficulties perceived during the pandemic period can inform CSCW researchers worldwide about future design-oriented strands. © 2022 IEEE.

关键词： COVID-19

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On using grid of collocated APs to improve performance of wireless VoD systems

On using grid of collocated APs to improve performance of wi...

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5th International Latin American Networking Conference, LANC 2009

作者： De Pinho, Leonardo Bidese De Amorim, Claudio Luis Computer Engineering - Campus Bage UNIPAMPA - Federal University of Pampa P.O. Box 07 Bage RS 96400-970 Brazil COPPE - Systems Engineering Program UFRJ - Federal University of Rio de Janeiro P.O. Box 68.511 Rio de Janeiro RJ 21941-972 Brazil

ISBN: (纸本)9781605587752

In previous work we showed that Collocated Wireless Access Points coupled with appropriate management of their non-overlapping channels could be used for building Scalable Wireless Video-On-Demand (SWVoD) systems within a limited covered area. In this paper, we introduce the Grid of collocated Access Points or simply GAPS, a novel approach that uses clusters of Collocated Access Points as the basic blocks to efficiently build SWVoD systems for a wider covered area. In GAPS, each basic block is responsible for a distinct part of the covered area and the amount of APs per block can be set either statically or dynamically depending on the client concentration pattern (CCP). We present in details the framework of GAPS and report simulated performance results that indicated that GAPS could significantly decrease the blocking rate of video requests in comparison with previous design based on fixed distribution of basic blocks. In addition, GAPS had the advantage of sustaining the lower blockage rate over larger covered areas. Also, we showed that the higher setup cost of dynamic grids was fully compensated by handling changes on CCP much better than the static scheme so that GAPS could generate a higher monthly net income according to our cost metric. Copyright 2009 ACM.

关键词： Video on demand

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Towards A Taxonomy for Ranking Knowledge in Internet of Everything

Towards A Taxonomy for Ranking Knowledge in Internet of Ever...

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International Conference on computer Supported Cooperative Work in Design

作者： Viviane Cunha Farias da Costa Luiz Oliveira Jano de Souza Systems Engineering and Computer Science Program/COPPE Federal University of Rio de Janeiro Brazil Rio de Janeiro Brazil Systems Engineering and Computer Science Program/COPPE IFRJ Campus Niterói Federal Institute of Rio de Janeiro Federal University of Rio de Janeiro Brazil Rio de Janeiro Brazil

The paradigm of the Internet of Everything (IoE) adds value to Internet of Things (IoT) in connections among people, processes, data, and things. However, knowledge creation process in IoE context still requires concerns to what extent connected sensors and actuators collaborates in value created and outcomes of IoE applications. This study focuses on the requirement and design approach for identification of critical knowledge within IoE domain though a knowledge ranking approach. Existing solutions for semantic definitions and taxonomies in IoE are reviewed for this purpose. In addition, this work proposes the use of a knowledge-based taxonomy as the main driver for ranking knowledge in smart sensors as IoE enablers with a qualitative approach of its dimensions. To the best of our knowledge, this is the first work that comprehensively integrate a taxonomy concerning ranking knowledge in IoE applications.

关键词： Actuators Conferences Taxonomy Semantics Knowledge based systems Collaborative work Internet of Things

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Dynamic process adaptation: A context-aware approach

Dynamic process adaptation: A context-aware approach

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International Conference on computer Supported Cooperative Work in Design

作者： Vanessa Tavares Nunes Cláudia M. Lima Werner Flávia Maria Santoro COPPE PESC-Systems Engineering and Computer Science Program UFRJ Rio de Janeiro Brazil NP2Tec and Postgraduate Information Systems Program UNIRIO Rio de Janeiro Brazil

Dynamism of day-to-day activities in organizations is inextricably linked and there is a variety of information, insight and reasoning being processed between people and systems, in carrying out a business process. We argue that flexibility in processes could be managed in real time, using context information collected in the work environment. This paper proposes a context management architecture approach that aims to improve and automate dynamic process adaptation. We explain how process adaptation may occur in real time and discuss a scenario for this proposal.

关键词： Context Adaptation models Organizations Cognition Context modeling Uncertainty

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Mediating process adaptation through a goal-oriented context-aware approach

Mediating process adaptation through a goal-oriented context...

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International Conference on computer Supported Cooperative Work in Design

作者： Vanessa Tavares Nunes Cláudia M. Lima Werner Flávia Maria Santoro COPPE/PESC-Systems Engineering and Computer Science Program UFRJ Rio de Janeiro Brazil NP2Tec and Postgraduate Information Systems Program UNIRIO Rio de Janeiro Brazil

Complexity and dynamism of day-to-day activities in organizations are inextricably linked, one impacting the other, increasing the challenges for constant adaptation on the way to organize work to address emerging demands. Market is demanding systems that are aware of organizations processes and able to evolve and adapt to new situations in everyday working activities. We argue that flexibility in processes could be managed in real time, by PAIS (Process-aware Information systems), using context information collected in the work environment. This paper proposes CGAdapt, a context management architecture approach that aims to improve and automate dynamic process adaptation. We explain how process adaptation may occur in real time through an existent scenario using this proposal and discuss the value of context-awareness to reason about process alternative adaptations in a goal oriented approach.

关键词： Context Materials Business Adaptation models Analytical models

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Fuzzy Bayes predictor in electric load forecasting

Fuzzy Bayes predictor in electric load forecasting

引用

International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha V.N.A.L. da Silva G.F. Ribeiro Systems Engineering and Computer Science Program Graduate Programs in Engineering COPPE Federal University of Rio de Janeiro Brazil Electric Power Research Center CEPEL CEPEL Brazil

ISBN: (纸本)0780370449

We present the fuzzy Bayes predictor (FBP), a hybrid system for the task of monthly electric load forecasting. The FBP is a modification we introduce in the naive Bayes classifier in order to enable it to predict numerical values. We consider three versions of the FBP, each one with a different dependence among the input data: independence, first-order and second-order dependence. For verifying the efficiency of the FBP's prediction, we compare it with two fuzzy systems and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.

关键词： Load forecasting Fuzzy systems Power engineering and energy Smoothing methods Testing Niobium compounds systems engineering and theory computer science Predictive models Electric variables measurement

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An agent-based architecture for knowledge management in context-aware business processes

An agent-based architecture for knowledge management in cont...

引用

International Conference on computer Supported Cooperative Work in Design

作者： De C. Gatti, Leonardo A. Santoro, Flávia Maria Nunes, Vanessa T. NP2TEC - Research and Practice Group in Information Technology Department of Applied Informatics Federal University of the State of Rio de Janeiro UNIRIO Rio de Janeiro Brazil COPPE - Systems Engineering and Computer Science Program Federal University of Rio de Janeiro UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781424467631

The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware architecture to support knowledge management in working processes. The required features for this architecture are processing, reasoning and sharing contextual knowledge involving information about activities performed. We also present results from evaluation of our proposal - A-CoBrA - for a specific domain. © 2010 IEEE.

关键词： Knowledge management

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Crowd and Urban Storytelling: Evaluating a Collective Intelligence Model to Support Discussions about the City 25

Crowd and Urban Storytelling: Evaluating a Collective Intell...

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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： Chaves, Ramon Motta, Claudia Correia, Antonio Paredes, Hugo Caetano, Barbara De Souza, Jano Moreira Schneider, Daniel Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Federal University of Rio de Janeiro Brazil Inesc Tec University of Tr s-os-Montes e Alto Douro Utad Quinta de Prados Apartado 1013 Vila Real Portugal Systems Engineering and Computer Science Program PESC/COPPE/UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781665405270

In recent years, digital technologies have been used to support discussions about the city and also to involve citizens in participatory public processes. However, despite the widespread use of social media platforms, old issues related to engagement and participation still persist in digital initiatives. The main goal of this study is to carry out an empirical evaluation of a collective intelligence model that combines crowdsourcing and social storytelling to support discussions about the city from a bottom-up perspective. Within a design science research approach we designed a participatory action study that was carried out through a workshop with students and professionals from different areas, such as architecture, urban design and information technology. As a result, we were able to assess whether the collective intelligence model was acceptable to the participants by investigating whether the behavioral assumptions were valid and thus outlining some contributions to the field of urban informatics. © 2022 IEEE.

关键词： Crowdsourcing

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