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17th International Conference on Enterprise Information systems, ICEIS 2015

作者： Magnavita, Rodrigo Novais, Renato Mendonça, Manoel Fraunhofer Project Center for Software and Systems Engineering Bahia Brazil Computer Science Department Federal University of Bahia Bahia Brazil Software Development Area SENAI/CIMATEC Bahia Brazil Computer Science Department Federal Institute of Bahia Bahia Brazil

ISBN: (纸本)9789897580963

software evolution produces large amounts of data which software engineers need to understand for their daily activities. The use of software visualization constitutes a promising approach to help them comprehend multiple aspects of the evolving software. However, portraying all the data is not an easy task as there are many dimensions to the data (e.g. time, files, properties) to be considered. This paper presents a new software visualization metaphor inspired by concentric waves, which gives information about the software evolution in different levels of detail. This new metaphor is able to portray large amount of data and may also be used to consider different dimensions of the data. It uses the concepts of the formation of concentric waves to map software evolution data generated during the waves formation life cycle. The metaphor is useful for exploring and identifying certain patterns in the software evolution. To evaluate its applicability, we conducted an exploratory study to show how the visualization can quickly answer different questions asked by software engineers when evolving their software. Copyright © 2015 SCITEPRESS - Science and Technology Publications.

关键词： Life cycle

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NWChem: Past, present, and future

arXiv

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arXiv 2020年

作者： Aprà, E. Bylaska, E.J. de Jong, W.A. Govind, N. Kowalski, K. Straatsma, T.P. Valiev, M. van Dam, H.J.J. Alexeev, Y. Anchell, J. Anisimov, V. Aquino, F.W. Atta-Fynn, R. Autschbach, J. Bauman, N.P. Becca, J.C. Bernholdt, D.E. Bhaskaran-Nair, K. Bogatko, S. Borowski, P. Boschen, J. Brabec, J. Bruner, A. Cauët, E. Chen, Y. Chuev, G.N. Cramer, C.J. Daily, J. Deegan, M.J.O. Dunning, T.H. Dupuis, M. Dyall, K.G. Fann, G.I. Fischer, S.A. Fonari, A. Früchtl, H. Gagliardi, L. Garza, J. Gawande, N. Ghosh, S. Glaesemann, K. Götz, A.W. Hammond, J. Helms, V. Hermes, E.D. Hirao, K. Hirata, S. Jacquelin, M. Jensen, L. Johnson, B.G. Jónsson, H. Kendall, R.A. Klemm, M. Kobayashi, R. Konkov, V. Krishnamoorthy, S. Krishnan, M. Lin, Z. Lins, R.D. Littlefield, R.J. Logsdail, A.J. Lopata, K. Ma, W. Marenich, A.V. Martin del Campo, J. Mejia-Rodriguez, D. Moore, J.E. Mullin, J.M. Nakajima, T. Nascimento, D.R. Nichols, J.A. Nichols, P.J. Nieplocha, J. Otero-de-la-Roza, A. Palmer, B. Panyala, A. Pirojsirikul, T. Peng, B. Peverati, R. Pittner, J. Pollack, L. Richard, R.M. Sadayappan, P. Schatz, G.C. Shelton, W.A. Silverstein, D.W. Smith, D.M.A. Soares, T.A. Song, D. Swart, M. Taylor, H.L. Thomas, G.S. Tipparaju, V. Truhlar, D.G. Tsemekhman, K. van Voorhis, T. Vázquez-Mayagoitia, Á. Verma, P. Villa, O. Vishnu, A. Vogiatzis, K.D. Wang, D. Weare, J.H. Williamson, M.J. Windus, T.L. Woliński, K. Wong, A.T. Wu, Q. Yang, C. Yu, Q. Zacharias, M. Zhang, Z. Zhao, Y. Harrison, R.J. Pacific Northwest National Laboratory RichlandWA99352 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States National Center for Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Brookhaven National Laboratory UptonNY11973 United States Argonne Leadership Computing Facility Argonne National Laboratory ArgonneIL60439 United States Intel Corporation Santa ClaraCA95054 United States QSimulate CambridgeMA02139 United States Department of Physics University of Texas at Arlington ArlingtonTX76019 United States Department of Chemistry University at Buffalo State University of New York BuffaloNY14260 United States Department of Chemistry Pennsylvania State University University ParkPA16802 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Washington University St. LouisMO63130 United States 4G Clinical WellesleyMA02481 United States Faculty of Chemistry Maria Curie-Sklodowska University in Lublin Lublin20-031 Poland Department of Chemistry Iowa State University AmesIA50011 United States J. Heyrovský Institute of Physical Chemistry Academy of Sciences of the Czech Republic Prague 818223 Czech Republic Department of Chemistry and Physics University of Tennessee at Martin MartinTN38238 United States Université libre de Bruxelles BrusselsB-1050 Belgium Facebook Menlo ParkCA94025 United States Institute of Theoretical and Experimental Biophysics Russian Academy of Science Pushchino Moscow142290 Russia Department of Chemistry Chemical Theory Center Supercomputing Institute University of Minnesota MinneapolisMN55455 United States SKAO Jodrell Bank Observatory MacclesfieldSK11 9DL United Kingdom Department of Chemistry University of Washington SeattleWA98195 United States Dirac Solutions PortlandOR97229 United States Chemistry Division U. S. Naval Research Laboratory WashingtonDC20375 United States School of Chemistry and Biochemis

Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties. In this regard, electronic structure packages have played a special role by using first-principle-driven methodologies to model complex chemical and materials processes. Over the last few decades, the rapid development of computing technologies and the tremendous increase in computational power have offered a unique chance to study complex transformations using sophisticated and predictive many-body techniques that describe correlated behavior of electrons in molecular and condensed phase systems at different levels of theory. In enabling these simulations, novel parallel algorithms have been able to take advantage of computational resources to address the polynomial scaling of electronic structure methods. In this paper, we briefly review the NWChem computational chemistry suite, including its history, design principles, parallel tools, current capabilities, outreach and outlook. Copyright © 2020, The Authors. All rights reserved.

关键词： Computational chemistry

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VisMinerTD: An open source tool to support the monitoring of the technical debt evolution using software visualization 17

VisMinerTD: An open source tool to support the monitoring of...

引用

17th International Conference on Enterprise Information systems, ICEIS 2015

作者： Mendes, Thiago S. Almeida, Daniel A. Alves, Nicolli S. R. Spínola, Rodrigo O. Novais, Renato Mendonça, Manoel Fraunhofer Project Center for Software and System Engineering at UFBA Salvador Brazil Salvador University - UNIFACS Salvador Brazil Federal Institute of Bahia - IFBA Salvador Brazil

ISBN: (纸本)9789897580963

software development and maintenance activities can be negatively impacted by the presence of technical debt. One of its consequences is the software quality decrease. In order to produce better software, the evolution of technical debt needs to be monitored. However, this is not a trivial task since it usually requires the analysis of large amount of data and different types of debt. The areas of metrics and software visualization can be used to facilitate the monitoring of technical debt. This paper presents an open source tool called VisMinerTD that uses software metrics and visualization to support developers in software comprehension activities including the identification and monitoring of technical debt. VisMinerTD brings a new perspective to the hard work of identifying and monitoring technical debt evolution on software projects. Moreover, the user can easily plug new metrics and new visual metaphors to address specific technical debt identification and monitoring activities. Copyright © 2015 SCITEPRESS - Science and Technology Publications.

关键词： Open source software

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Simulation support in construction uncertainty management: A production modelling approach

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Periodica Polytechnica Transportation engineering 2016年第2期44卷 115-122页

作者： Pfeiffer, András Kádár, Botond Bohács, Gábor Gáspár, Dániel Computer and Automation Research Institute Fraunhofer Project Center on Production Management and Informatics Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary Department of Materials Handling and Logistics Systems Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Muegyetem rkp. 3 BudapestH-1111 Hungary

The execution of construction projects such as a highway construction or the elevation of a new bridge is a complex, highly equipment-intensive process and are subject to many different uncertainties. This is very similar to the manufacturing execution level in production systems where predefined productions plans and schedules cannot be completely implemented due to unexpected internal and external changes and disturbances. Following this analogy, the paper proposes the application of a discrete-event simulation based method which was already applied in the decision-support for manufacturing control to develop the decision-support in the execution of a construction project where the effects of the deviation from the short-term schedule can be easily and quickly analyzed.

关键词： Discrete event simulation

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Big Data Analytics for Earth Sciences:the EarthServer approach

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International Journal of Digital Earth 2016年第1期9卷 3-29页

作者： Peter Baumann Paolo Mazzetti Joachim Ungar Roberto Barbera Damiano Barboni Alan Beccati Lorenzo Bigagli Enrico Boldrini Riccardo Bruno Antonio Calanducci Piero Campalani Oliver Clements Alex Dumitrua,Mike Grant Pasquale Herzig George Kakaletris John Laxton Panagiota Koltsida Kinga Lipskoch Alireza Rezaei Mahdiraji Simone Mantovani Vlad Merticariu Antonio Messina Dimitar Misev Stefano Natali Stefano Nativi Jelmer Oosthoek Marco Pappalardo James Passmore Angelo Pio Rossi Francesco Rundo Marcus Sen Vittorio Sorbera Don Sullivan Mario Torrisi Leonardo Trovato Maria Grazia Veratelli Sebastian Wagner Large-Scale Scientific Information Systems Jacobs UniversityBremenGermany Rasdaman GmbH BremenGermany CNR-IIA National Research Council of ItalyInstitute of Atmospheric Pollution ResearchFlorenceItaly EOX IT Services GmbH ViennaAustria Consorzio COMETA CataniaItaly Division of Catania Italian National Institute for Nuclear PhysicsCataniaItaly Department of Physics and Astronomy University of CataniaCataniaItaly MEEO S.r.l. FerraraItaly Plymouth Marine Laboratory PlymouthUK Fraunhofer IGD DarmstadtGermany Athena Research and Innovation Center in Information Communication&Knowledge Technologies AthensGreece British Geological Survey EdinburghUK Software Engineering Italia S.r.l. CataniaItaly British Geological Survey KeyworthUK NASA Ames Research Center Moffett FieldCAUSA

Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced *** and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and ***,Earth Science data and applications present specificities in terms of relevance of the geospatial information,wide heterogeneity of data models and formats,and complexity of ***,Big Earth Data Analytics requires specifically tailored techniques and *** EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets,built around a high performance array database technology,and the adoption and enhancement of standards for service interaction(OGC WCS and WCPS).The EarthServer solution,led by the collection of requirements from scientific communities and international initiatives,provides a holistic approach that ranges from query languages and scalability up to mobile access and *** result is demonstrated and validated through the development of lighthouse applications in the Marine,Geology,Atmospheric,Planetary and Cryospheric science domains.

关键词： big data Big Data Analytics array databases Earth Sciences interoperability standards

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Adoption and Suitability of software Development Methods and Practices

Adoption and Suitability of Software Development Methods and...

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Asia-Pacific Conference on software engineering

作者： Sherlock A. Licorish Johannes Holvitie Sami Hyrynsalmi Ville Leppänen Rodrigo O. Spínola Thiago S. Mendes Stephen G. MacDonell Jim Buchan Department of Information Science University of Otago PO Box 56 Dunedin New Zealand Department of Information Technology University of Turku FI-20014 Turku Finland Fraunhofer Project Center for Software System Engineering at UFBA Salvador University Salvador Brazil School of Computer and Mathematical Sciences Auckland University of Technology Private Bag 92006 Auckland New Zealand

In seeking to complement consultants' and tool vendors' reports, there has been an increasing academic focus on understanding the adoption and use of software development methods and practices. We surveyed practitioners working in Brazil, Finland, and New Zealand in a transnational study to contribute to these efforts. Among our findings we observed that most of the 184 practitioners in our sample focused on a small portfolio of projects that were of short duration. In addition, Scrum and Kanban were used most; however, some practitioners also used conventional methods. Coding Standards, Simple Design and Refactoring were used most by practitioners, and these practices were held to be largely suitable for project and process management. Our evidence points to the need to properly understand and support a wide range of software methods.

关键词： software Organizations Correlation Standards organizations Instruments project management Portfolios

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Toward a scoring schema to rank candidate instances of ontological classes: Extracting Brazilian Portuguese texts from the web 15

Toward a scoring schema to rank candidate instances of ontol...

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21st Brazilian Symposium on Multimedia and the Web, WebMedia 2015

作者： Lima, Fábio Salvador, Laís Do Nascimento Instituto Federal de Educação Ciência e Tecnologia Baiano - IF Baiano Universidade Federal da Bahia - UFBA Salvador Bahia Brazil Departamento de Ciência da Computação Fraunhofer Project Center for Software and Systems Engineering at UFBA Universidade Federal da Bahia - UFBA Salvador Bahia Brazil

ISBN: (纸本)9781450339599

With the emergence of Information Extraction systems driven by ontologies, boosted by the Semantic Web, there is a need for the development of scoring schemas that enable the automatic classification of information. These schemas, even so little explored in the Portuguese language, provide measures used in the stage of classification of relevant instances to ontological classes. In this way, this paper presents: (i) a brief discussion about existing scoring measures based on PMI (Pointwise Mutual Information);(ii) new scoring measures based on PMI and Standard Deviation Calculation;and (iii) an evaluation of all discussed measures in the context of Brazilian Portuguese texts from the web. © 2015 ACM.

关键词： Classification (of information)

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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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An Unsupervised Method for Ontology Population from Textual Sources on the Web 11

An Unsupervised Method for Ontology Population from Textual ...

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11th Annual Brazilian Symposium on Information systems, Information systems: A Computer Socio-Technical Perspective, SBSI 2015

作者： Lima, Fábio Oliveira, Hilário Salvador, Laís Universidade Federal da Bahia - UFBA Rua Ademar de Barros - Ondina Salvador Bahia Brazil Universidade Federal de Pernambuco - UFPE Av. Professor Morais Rego 1235 - Cidade Universitária Pernambuco Recife Brazil Universidade Federal da Bahia - UFBA Fraunhofer Project Center for Software and Systems Engineering Salvador Bahia Brazil

The increasing in the production and availability of unstructured information on the Web grows daily. This abundance of unstructured information is a great challenge for acquisition of structured knowledge. Many approaches have been proposed for extracting information from texts written in natural language. However, only a few studies have investigated the extraction of information from texts written in Portuguese. Thus, this work aims to propose and evaluate an unsupervised method for ontology population using the Web as a big source of information in the context of the Portuguese language. The results of the experiments are encouraging and demonstrated that the proposed approach reached a precision rate of 67% in the instances of ontological classes extraction. © SBC 2015.

关键词： Ontology

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software architecture documentation for developers: A survey

Software architecture documentation for developers: A survey

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software engineering 2014

作者： Rost, Dominik Naab, Matthias Lima, Crescendo Von Flach Chavez, Christina Fraunhofer Institute for Experimental Software Engineering Kaiserslautern Germany Fraunhofer Project Center on Software and Systems Engineering Software Engineering Laboratory Department of Computer Science Bahia Brazil

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