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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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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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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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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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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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Software process performance improvement using data provenance and ontology

Software process performance improvement using data provenan...

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International Conference on Business Process Management, BPM 2016

作者： Costa, Gabriella Castro Barbosa Werner, Cláudia M. L. Braga, Regina Systems Engineering and Computer Science Department Federal University of Rio de Janeiro COPPE Rio de JaneiroRJ Brazil Computer Science Department Federal University of Juiz de Fora Juiz de ForaMG Brazil

ISBN: (纸本)9783319454672

Organizations are investing on process definition and improvement in order to enhance their products’ quality. In the software processes context, this is not different. A practice to support software processes continuous improvement is to reuse the knowledge acquired in previous process executions. After defining measures to the software processes performance, an analysis of process execution data can be done, in order to detect process enhancement points. One way to capture these process execution data is using data provenance models. Thus, these data can be analyzed, using information derivation mechanisms, such as inference engines for ontologies. This paper aims to describe and evaluate an approach to support software process execution analysis to improve process performance, using data provenance and ontologies. A pilot case study was conducted with software processes used in two software development companies. With this study, implicit information was derived and can be used for improving process performance. © Springer International Publishing Switzerland 2016.

关键词： Ontology

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The importance of socio-technical resources for software ecosystems management

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Journal of Innovation in Digital Ecosystems 2016年第2期3卷 98-113页

作者： Thaiana Lima Rodrigo Pereira dos Santos Jonice Oliveira Cláudia Werner System Engineering and Computer Science Department PESC/COPPE/UFRJ–Federal University of Rio de Janeiro Zip Code 21945-970–Rio de Janeiro Brazil

Software Ecosystem (SECO) is often understood as a set of actors interacting among themselves and manipulating artifacts with the support of a common technology platform. Usually, SECO approaches can be designed as an environment whose component repository is gathering stakeholders as well as software products and components. By manipulating software artifacts, a technical network emerges from interactions made over the component repository in order to reuse artifacts, improving code quality, downloading, selling, buying etc. Although technical repositories are essential to store SECO’s artifacts, the interaction among actors in an emerging social network is a key factor to strengthen the SECO’s through increasing actor’s participation, e.g., developing new software, reporting bugs, and communicating with suppliers. In the SECO context, both the internal and external actors keep the platform’s components updated and documented, and even support requirements and suggestions for new releases and bug fixes. However, those repositories often lack resources to support actors’ relationships and consequently to improve the reuse processes by stimulating actors’ interactions, information exchange and better understanding on how artifacts are manipulated by actors. In this paper, we focused on investigating SECO as component repositories that include socio-technical resources. As such, we present a survey that allowed us to identify the relevance of each resource for a SECO based on component repositories, initially focused on the Brazilian scenario. This paper also describes the analysis of the data collected in that survey. Information of other SECO elements extracted from the data is also presented, e.g., the participants’ profile and how they behave within a SECO. As an evolution of our research, a study for evaluating the availability and the use of such resources on top of two platforms was also conducted with experts in collaborative development in order to analyze th

关键词： Software ecosystems Socio-technical resources Component repositories Software reuse

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Supporting negotiation and socialization for component markets in software ecosystems context

Supporting negotiation and socialization for component marke...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Rodrigo Santos Cláudia Werner Lucas Tostes Thaiana Lima Gabriel Barbosa System Engineering and Computer Science Department COPPE/UFRJ-Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9781509016341

Organizations open up their software platforms and reusable assets to others, including partners and third-party developers around the world, creating software ecosystems (SECOs). It can contribute to minimize nontechnical barriers of software reuse in industry because it explores potential benefits from the relations among companies and stakeholders. An inhibitor is the complexity in defining value for reusable assets in a scenario where producers try to meet customers' expectations, and vice-versa. This paper presents a value-based mechanism to support component negotiation and socialization processes in a reuse repository in the SECO context as an extension of the Brechó-EcoSys environment. Social resources were integrated into the mechanism in order to aid component negotiation. An evaluation of the negotiation mechanism was performed, based on an analysis of its elements and functions against critical factors in the negotiation within a SECO, identified in a previous systematic literature review. In addition, an analysis of the social resources supporting the negotiation mechanism was performed against popular sociotechnical elements for SECOs, identified in a previous survey with experts in the field.

关键词： Stakeholders Ecosystems Context Documentation Software reusability Software engineering

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Toward a methodology for the optimal design of mooring systems for floating offshore platforms using evolutionary algorithms

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Marine systems and Ocean Technology 2016年第3-4期11卷 55-67页

作者： Monteiro, Bruno da Fonseca de Pina, Aline Aparecida Baioco, Juliana Souza Albrecht, Carl Horst de Lima, Beatriz Souza Leite Pires Jacob, Breno Pinheiro LAMCSO – Laboratory of Computer Methods and Offshore Systems Civil Engineering Department PEC/COPPE/UFRJ – Post Graduate Institute of the Federal Univ. of Rio de Janeiro Avenida Pedro Calmon S/N Cidade Universitária Ilha do Fundão Rio de Janeiro RJ21941-596 Brazil TEQ/UFF – Petroleum Engineering Department Rua Passo da Pátria no. 156 São Domingos Niterói RJ24210-240 Brazil

This work presents the first steps toward the development of an innovative computational tool, based on evolutionary optimization methods, for the synthesis and optimization of spread-mooring configurations for floating production systems (FPS). The modeling of the optimization problem departs from the classical design approach that has led to symmetrically distributed lines. As the complexity of FPS has been increasing for recent applications, we consider asymmetric configurations where the mooring radii and azimuthal angles of the lines vary along the corners of the platform. This increases the number of design variables, leading to thousands of alternative geometric configurations whose structural behavior should be evaluated during the optimization process. Since each evaluation requires extensively time-consuming nonlinear analyses, this might introduce severe limitations for the optimization tool. In this context, the goal is to assess the performance of two of the most popular evolutionary algorithms—the particle swarm optimization (PSO) and the differential evolution (DE) methods, applied to a case study representative of actual deep-water FPS. The results open many roads for future developments, indicating that evolutionary algorithms (EAs) with fast convergence and ability to explore the search space may be further explored toward the development of an efficient mooring optimization strategy. © 2016, Sociedade Brasileira de Engenharia Naval.

关键词： Floating production systems

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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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