This study explored the publication pattern of Canadian computer scientists and compared the impact of conference papers and journal articles published by these researchers. It was found that conference proceedings are the preferred venue for scholarly communication, but the impact of conference papers is not comparable to that of journal articles. The potential reasons for the lower impact of conference papers are discussed, and possible approaches to improve the current scholarly communication system in computer science are proposed.

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Submitted by Geandra Rodrigues (geandrar@gmail.com) on 2018-05-15T18:07:48Z No. of bitstreams: 1 julianavasconcelosveronese.pdf: 2943151 bytes, checksum: b9567c797f042f4c5a2d949b45edcb2e (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2018-05-22T14:48:18Z (GMT) No. of bitstreams: 1 julianavasconcelosveronese.pdf: 2943151 bytes, checksum: b9567c797f042f4c5a2d949b45edcb2e (MD5) / Made available in DSpace on 2018-05-22T14:48:18Z (GMT). No. of bitstreams: 1 julianavasconcelosveronese.pdf: 2943151 bytes, checksum: b9567c797f042f4c5a2d949b45edcb2e (MD5) Previous issue date: 2018-02-27 / O litoral da Região dos Lagos, no estado do Rio de Janeiro, atravessa atualmente um processo de modificação acelerado da paisagem, tornando necessário a elaboração de estratégias preventivas de conservação para os próximos anos. Uma medida de conservação adotada foi a criação pelo decreto estadual nº 42.929 de 18 de abril de 2011 do Parque Estadual da Costa do Sol (PECSoL), que abrange os municípios: Armação de Búzios, Cabo Frio, Araruama, São Pedro d’Aldeia, Arraial do Cabo e Saquarema. O objetivo do trabalho foi analisar a variação da paisagem entre 2006 e 2016 da área correspondente ao Núcleo II Atalaia Dama Branca do PECSoL com a utilização de métricas da paisagem. A partir da confecção dos mapas de uso e ocupação do solo calculamos as métricas para os níveis de paisagem e classe. Também foram realizadas a análise dos fragmentos de restinga arbustiva quanto ao seu tamanho, forma e grau de isolamento. Os resultados obtidos revelaram importantes alterações na dinâmica da paisagem ao longo desse período. / The coast of the Lakes Region, in the state of Rio de Janeiro, is currently undergoing a process of accelerated landscape modification, making it necessary to develop preventive conservation strategies for the coming years. A conservation measure adopted was the creation of the Parque Estadual da Costa do Sol (PECSol) - which translates to Costa do Sol Estate Park - by state decree nº 42.929 of April 18, 2011. The park covers the following municipalities: Armação de Búzios, Cabo Frio, Araruama, São Pedro d'Aldeia, Arraial do Cabo and Saquarema. The objective of this work was to analyze and diagnose the variation of the landscape between 2006 and 2016 of the area corresponding to the nucleus II named Atalaia Dama Branca with the use of landscape metrics. From the preparation of land use maps we calculate the metrics for landscape and class levels. The fragments of shrub were also analyzed for their size, shape and degree of isolation. The results obtained revealed important changes in the dynamics of the landscape during this period.

In the realm of software engineering, understanding the architecture and measuringthe quality of a source code is essential for maintaining and enhancing softwaresystems. However, many existing tools fall short in evaluating architectural aspects,such as detecting architectural erosion or addressing architecture-related metrics andconstraints tailored to the unique context of their systems or organisations. Thisdeficiency restricts proactive architecture governance and hinders the mitigation ofarchitecture-related risks, creating a critical gap in the analysis of software sourcecode. This thesis presents a novel approach to tackle these challenges. It proposes a graphdatabase as a data structure for analysing the source code and architecture quality andcalculating various architectural metrics of interest. The tool developed in this thesisrepresents the source code structural elements and their relationships in the graphdatabase, enabling an intuitive analysis of the source code architecture. The tool also integrates different code quality metrics parsed from Visual Studiocode metrics results, mapped to their correspondent nodes to assess the source codeoverall quality and identify potential areas of improvement. This empowers softwareengineers and developers to make informed decisions regarding refactoring, codeoptimisation, and architectural enhancements. Furthermore, the tool allows users to define the intended architecture in terms ofmodules to reveal any Architecture erosion (AEr). It also provides the flexibility toestablish custom constraints and metrics through tailored queries, accommodating theunique requirements of their system and company. A case study conducted on a real-world software project validates the effectivenessand usefulness of the proposed approach. The case study demonstrates how the toolanalysis reveals valuable insights into the source code health and identifies patternsthat can impact maintainability and scalability. The results of this research showcasethe potential of our tool as a powerful instrument for analysing the code qualityand architecture of source code, fostering more resilient and sustainable softwaresystems.

網際網路的發展讓人們的生活起了變化，Web2.0的概念更是增加了人們對網際網路的依賴性，我們成為網路內容的生產者、我們在社交網站上發表、追縱朋友的動態，以及取得全球世界各地的資訊。在這無限的虛擬空間中隱含的巨大商機，讓各大企業紛紛而至，因而加速了Web2.0社群網站的發展，維持與增加網站流量更是成為社群網站生存的關鍵與重要的績效指標。但社群網站該如何從流量指標之變化來評斷社群網站之績效呢?這是令我們最好奇之處。 藉由Google Analytics提供的流量分析工具，本研究蒐集了台灣四間社群網站1-3年間的流量資訊進行分析，考量蒐集之資訊具時間序列性質特性，本研究首先採用移動視窗法重新進行資料的整理，並據此概念應用在後續的統計分析。此外，本就以指數加權平均法及多元迴歸分析進行流量異常值之偵測，最後，對照各網站重大事件里程碑並與各網站業主進行一對一深訪。故本研究實際上包含質、量化之分析結果。 本篇研究四間個案網站為例，並依網站創造的服務與使用者互動情形流量將其區分為社交互動型與資訊交換型網站，並歸納其在網站流量指標上不同特徵表現及各自可參考之績效評估指標。同時，本研究採用多元迴歸分析做為社群網站績效評估模型，並企圖建構一績效評估分析流程期以做為後續研究者針對網站流量相關研究之參考。 / The development of Internet makes a great influence on human society and the development of Web2.0 enhances human’s dependence on the internet and becomes a channel of social connections. Currently, most contents of the Internet are generated by common users who could retrieve information through the entire network and trace their friends’ actions over the Social Network Sites (SNSs).Owing to the potential business opportunities on the internet, companies try to enter the market causing the prosperities of SNSs. Maintaining or even increasing traffic flows become a critical issue for SNSs to survive in the competitive market. However, how to evaluate the performance of SNSs based on traffic flow indices remains unsolved.This study collected Google Analytics data for 1-3 years from four SNSs’, respectively.Consider the time series charactics, this study applied “Moving Windows“ to organize the data for further statistical analysis.In addition, Exponentially Weighted Moving Average and Multiple Regression Analysis were used to detect the abnormal traffic flows. Finally, these abnormal records were compared with the important events and one-on-one interviewings with the SNSs operators were conducted. The results of this study are based on qualitative and quentitative analysis. This research studiesd four SNSs that were categorized into information-oriented and interaction-oriented services based on their services and users’ interaction. The SNSs at different categories behaved differently following certain characteristics defined previously.A performance evaluation process was developed as a reference for further studies.