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International Conference on computer Supported Cooperative Work in Design

作者： Ramon Chaves Daniel Schneider Claudia Motta António Correia Hugo Paredes Bárbara Caetano Jano Moreira de Souza Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research (NCE) Federal University of Rio de Janeiro Brazil INESC TEC and University of Trás-os-Montes e Alto Douro UTAD Vila Real Portugal Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ) Rio de Janeiro Brazil

ISBN: (纸本)9781728165974;9781728165981

Over the past decades, the use of digital technologies to support participatory urban planning and design has been repeatedly described as a crucial instrument and critical building block for tackling historical problems of participation in such processes. Social media, e-participation platforms, and crowdsourcing applications are examples of technologies that can involve citizens in decision-making processes and thus leverage the benefits of collective intelligence. However, despite the extensive use of social media platforms, old problems related to engagement and participation still occur in digital initiatives. Successful collaboration examples between citizens, policymakers, and strategic stakeholders are still scarce based on online social practices. This study aims to introduce a collective intelligence model, which combines crowdsourcing and social storytelling to support participatory urban planning and design from a bottom-up perspective. The paper concludes by discussing a scenario where citizens can engage in mapping, taking photos, sending ideas, or even creating collective stories about their university issues in a post-pandemic future.

关键词： Crowdsourcing Social networking (online) Smart cities Instruments Urban planning Collective intelligence Tools

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Turning social news curation into microtask crowdsourcing: a vision and research agenda

Turning social news curation into microtask crowdsourcing: a...

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IEEE International Conference on systems, Man and Cybernetics

作者： Daniel Schneider António Correia Ramon Chaves Ana Paula Pimentel Marcio Antelio Edson Mello Lucas Marcos Antonio de Almeida Luiz Oliveira Jano Moreira de Souza Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research NCE/UFRJ Rio de Janeiro Brazil INESC TEC and University of Trás-os-Montes e Alto Douro Vila Real Portugal Graduate School of Engineering CEFET-RJ Rio de Janeiro Brazil Polytechnic Institute IPRJ/UERJ Rio de Janeiro Brazil Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ) Rio de Janeiro Brazil Federal Institute of Rio de Janeiro (IFRJ) Rio de Janeiro Brazil

ISBN: (数字)9781728185262

ISBN: (纸本)9781728185279

Over the past decade, online crowdsourcing has established itself as an emerging paradigm that industry and government have been using to harness the cognitive abilities of a multitude of users distributed around the world. In this context, microtask crowdsourcing has become the method of choice for addressing a wide range of diverse problems. Microtasks typically require a minimum of time and cognitive effort, but combined individual efforts have made it possible to accomplish great achievements. The goal of this paper is to contribute to the ongoing effort of understanding whether the same success that microtask crowdsourcing has achieved in other domains can be obtained in the field of social news curation. In particular, we ask whether it is possible to turn online news curation, typically a social and collaborative activity on the Web, into a model in which curatorial activities are mapped into microtasks to be performed by a crowd of online users.

关键词： Crowdsourcing Industries Conferences Government Collaboration Turning Cybernetics

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Towards using task similarity to recommend Stack Overflow posts 21

Towards using task similarity to recommend Stack Overflow po...

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21st Ibero-American Conference on Software engineering, CIbSE 2018

作者： Melo, Gláucia Telemaco, Ulisses Oliveira, Toacy Alencar, Paulo Cowan, Don COPPE – Systems Engineering and Computer Science Department UFRJ – Federal University of Rio de Janeiro Rio de Janeiro – RJ Brazil David R. Cheriton School of Computer Science University of Waterloo WaterlooON Canada

ISBN: (纸本)9789584837547

Software development depends on diverse technologies and methods and as a result, software development teams often handle issues in which team members are not experts. In order to address this lack of expertise, developers typically search for information on web-based Q&A sites such as Stack Overflow, a well-known place to find solutions to specific technology-related problems. The access to these web-based Q&A locations is currently not integrated into the software development environment, and because the associations between software development processes and the supporting sources of known solutions, usually referred to as knowledge, is not explicitly modeled and recorded, software developers often need to search for solutions to similar recurring issues multiple times. Moreover, this lack of integration hampers the implementation of a proactive recommender system that can point developers to knowledge that is relevant to their development processes. This research aims at proposing a solution that explicitly associates process elements (such as project tasks) to Stack Overflow posts and presents a recommender system that proactively recommends Stack Overflow posts to developers based on the similarity of project tasks. A literature review was used to find the concepts to define a meta-model for project tasks. This research paper advances the area of software development knowledge reuse by reporting on both the model and the results of experiments performed with real project development data. © 2018 Conferencia Iberoamericana de Software engineering - CIbSE. All Rights Reserved.

关键词： Recommender systems

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Odyssey process reuse: A component-based software process line approach 20

Odyssey process reuse: A component-based software process li...

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20th International Conference on Enterprise Information systems, ICEIS 2018

作者： Teixeira, Eldânae Nogueira Vasconcelos, Aline Werner, Cláudia Systems Engineering and Computer Science Program COPPE/UFRJ ZIP Code: 21945-970 P.O. Box 68511 Rio de Janeiro RJ Brazil Federal Fluminense Institute of Education Science and Technology Campos dos Goytacazes Goytacazes RJ Brazil

ISBN: (纸本)9789897582981

It is expected that managing process variations and organizing process domain knowledge in a reusable way can provide support to handle complexity in software process definition. In this context, the purpose of this paper is to describe a systematic software process reuse methodology, by combining process reuse techniques, such as Software Process Line and Component Based Process Definition, aiming to increase reuse possibilities. SPrL approach manages the variability aspect inherent to software process domain and CBPD focuses on modularizing the domain process information into process components. The proposed SPrL modelling metamodel and notation address reusable process elements, explicitly representing the variability concept in both process domain structure and behaviour. Based on the results of the evaluation studies, it was possible to get evidences of the approach feasibility, with a higher expressiveness when using the process variability notation proposed, which allow that more semantic concepts inherent to SPrL scenarios can be graphically described. Also, the set of heuristics to support mappings among artefacts in distinct abstraction levels was considered useful to keep the traceability of variability properties, relationships and restrictions. Further research is being conducted to explore ways to support project managers during the decision-making in new software process definitions. © 2018 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Decision making

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Software Process Definition using Process Lines: A Systematic Literature Review

Software Process Definition using Process Lines: A Systemati...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Diogo Matheus Costa Eldânae Nogueira Teixeira Claudia Maria Lima Werner Systems Engineering and Computer Science Department PESC/COPPE/UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781728104386

Software processes have been the focus of discussion in literature, but defining a software process remains a challenge. The Software Process Line (SPrL) technique offers a systematic process reuse approach that identifies processes' similarities and variability. This study aims to characterize the state-of-the-art of the software process definition using SPrL. A Systematic Literature Review (SLR) was conducted and 26 papers were identified to be studied in depth. The results indicate a concentration of approaches that use mapping/rules techniques to support variability resolution and the need for integrated supporting tools. In addition, three problems that affect the software process definition using SPrL were observed: (1) low understanding of SPrL models complexity and their impact, (2) lack of understanding about the impacts of the defined software process, and (3) experts' knowledge dependence issues in decision-making to solve variability.

关键词： Software Bibliographies Tools Systematics Industries Process control systems engineering and theory

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ELM vs. WiSARD: A performance comparison 25

ELM vs. WiSARD: A performance comparison

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25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017

作者： Oliveira, Luiz Fernando R. França, Felipe M.G. Systems Engineering and Computer Science Program COPPE Universidade Federal Do Rio de Janeiro Brazil

ISBN: (纸本)9782875870391

The extreme learning machine (ELM) is known for being a fast learning neural model. This work presents a performance comparison between ELM and the WiSARD weightless neural network model, regarding training and testing times, and classification accuracy as well. The two models were implemented in the same programming language and experiments were carried out on the same hardware environment. By using a group of datasets from the public repositories UCI and Statlog, experimental results shows that the WiSARD presented training times approximately one order of magnitude smaller than ELM, while classification accuracy varied according the number of classes involved. However, while WiSARD's architecture setups were not exhaustively searched, architecture setups for ELM were kept the same as the ones found in the literature as the best for each given dataset. © ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. All rights reserved.

关键词： Classification (of information)

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Who is right? Evaluating empirical contradictions in the readability & comprehensibility of source code 20

Who is right? Evaluating empirical contradictions in the rea...

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20th Ibero-American Conference on Software engineering, CIbSE 2017

作者： Ribeiro, Talita Vieira Travassos, Guilherme Horta PESC/COPPE/UFRJ - Systems Engineering and Computer Science Program Centro de Tecnologia Federal University of Rio de Janeiro Cidade Universitária Bloco H Sala 319 Rio de Janeiro RJ Brazil

ISBN: (纸本)9789873806988

Context: Several code guidelines aim at providing a common perspective on the readability and comprehensibility of source code. However, in many cases, they are contradictory on how to improve these quality characteristics. Objective: To analyze the influence of three contradictory source code attributes - indentation spacing, identifier length and code size - on the source code reada-bility and comprehensibility, interpreting whether programming experience and domain knowledge can support explaining these contradictions. Method: To per-form an empirical study with software developers collecting quantitative (Likert scale) and qualitative data to assess the readability and comprehensibility of de-velopers regarding Python snippets. To observe eventual perceptions contradic-tions and whether their levels of experience and knowledge have something to do with such contrary results. Results: Regardless their programming experience, 4-spaces indentation dominated the readability preference of participants. While the readability and comprehensibility preferences towards long and complete-word identifiers were mostly true for both novice/experts, developers with more experience and low domain knowledge level seemed to be more affected by the length of identifiers. Furthermore, while all participants showed more positive comprehensibility perceptions for Pythin snippets with more lines of code, their readability perceptions regardnig code size were contradictory since the less experienced participants preferred more lines of code and the more experienced ones prefer fewer lines. Conclusion: The results presented in the technical literature seemed to be caused by the interchangeable use of the readability and comprehensibility concepts. Further investigation is still needed to observe whether other confounding factors might support the explanation of such contrary results.

关键词： Codes (symbols)

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Sherlock: Capturing Probe Requests for Automatic Presence Detection

Sherlock: Capturing Probe Requests for Automatic Presence De...

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International Conference on computer Supported Cooperative Work in Design

作者： Luiz Oliveira João Henrique Daniel Schneider Jano de Souza Sérgio Rodriques Weiming Sherr IFRJ Federal Institute of Rio de Janeiro Brazil Systems Engineering and Computer Science Program/COPPE Federal University of Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research (NCE) Federal University of Rio de Janeiro Brazil National Research Council Canada Constructicn Research Centre Canada

The ubiquity of smartphones creates great opportunities for participatory sensing, where people can implicitly contribute observations about their local environments through sensors such as cameras and accelerometers. The collected data can then be aggregated and used to benefit the crowd in some way. In this paper, we report on the current development of Sherlock, a device capable of automatically detecting the presence of people in localities through evidences left by smartphones called probe requests, without any user intervention. To validate the proposed mechanism implemented in the device, we performed an experiment with ten participants in six rounds where it was possible to automatically detect 41 presence events, of which 66% could be detected within less than 30s. The implicit crowdsourcing mechanism behind this approach may allow real-time monitoring of people flows in public environments, which can enable, among other things, energy systems to be automatically orchestrated according to demand, reducing associated costs.

关键词： Probes Wireless fidelity Smart phones Wireless networks Monitoring Prototypes

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Corrigendum: A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018 (2021 Environ. Res. Lett. 16 073005)

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Environmental Research Letters 2022年第4期17卷 049502-049502页

作者： William F Lamb Thomas Wiedmann Julia Pongratz Robbie Andrew Monica Crippa Jos G J Olivier Dominik Wiedenhofer Giulio Mattioli Alaa Al Khourdajie Jo House Shonali Pachauri Maria Figueroa Yamina Saheb Raphael Slade Klaus Hubacek Laixiang Sun Suzana Kahn Ribeiro Smail Khennas Stephane de la Rue du Can Lazarus Chapungu Steven J Davis Igor Bashmakov Hancheng Dai Shobhakar Dhakal Xianchun Tan Yong Geng Baihe Gu Jan Minx Mercator Research Institute on Global Commons and Climate Change Torgauer Straße 12–15 4 EUREF Campus #19 10829 Berlin Germany School of Earth and Environment University of Leeds LS2 9JT Leeds United Kingdom Sustainability Assessment Program School of Civil and Environmental Engineering UNSW Sydney Sydney Australia Max Planck Institute for Meteorology Bundesstrasse 53 20146 Hamburg Germany Department of Geography Ludwig-Maximilians-Universität Munich Luisenstrasse 37 80333 Munich Germany CICERO Center for International Climate Research Oslo Norway European Commission Joint Research Centre Ispra VA Italy PBL Netherlands Environmental Assessment Agency Den Haag The Netherlands Institute of Social Ecology University of Natural Resources and Life Sciences Schottenfeldgasse 29 1070 Vienna Austria Department of Transport Planning TU Dortmund University August-Schmidt-Straße 10 44227 Dortmund Germany Centre for Environmental Policy Imperial College London London United Kingdom School of Geographical Sciences University of Bristol University Road BS8 1SS Bristol United Kingdom International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1 2361 Laxenburg Austria Department of Management Society and Communication Copenhagen Business School Copenhagen Denmark Openexp 17 Bd Lefebvre 75015 Paris France Integrated Research for Energy Environment and Society University of Groningen 9747AG Groningen The Netherlands Department of Geographical Sciences University of Maryland College Park MD 20742 United States of America School of Finance and Management SOAS University of London WC1H 0XG London United Kingdom Institute of Blue and Green Development Weihai Institute of Interdisciplinary Research Shandong University Weihai 264209 People’s Republic of China Federal University of Rio de Janeiro (Universidade Federal do Rio de Janeiro—UFRJ) Transport Engineering Programme (Programa de Engenharia de Transportes—PET) COPPE-UFRJ Rio de Janeiro Brazil Energy

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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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