Our project presents the research on visualization of statistical contents. Here wewill introduce the concepts of visualization, software quality metrics andproposed visualization technique (line chart). Our aim to study the existingvisualization techniques for visualization of software metrics and then proposedthe visualization approach that is more time efficient and easy to perceive byviewer.In this project, we focus on the practical aspects of visualization of multipleprojects with respect to the versions and metrics. This project also gives animplementation of proposed visualization techniques of software metrics. In thisresearch based work, we have to compare practically the proposed visualizationapproaches. We will discuss the software development life cycle of our proposedvisualization system, and we will also describe the complete softwareimplementation of implemented software.

Orientadores: Leonardo de Souza Mendes, Bruno Bogaz Zarpelão / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-23T07:05:01Z (GMT). No. of bitstreams: 1 Miani_RodrigoSanches_D.pdf: 2910742 bytes, checksum: e722dcc4c3bc0741a15ed5ec79cfa1ec (MD5) Previous issue date: 2013 / Resumo: Com o aumento da frequência e diversidade de ataques, uma preocupação crescente das organizações é garantir a segurança da rede. Para compreender as ações que conduziram os incidentes e como eles podem ser mitigados, pesquisadores devem identificar e medir os fatores que influenciam os atacantes e também as vítimas. A quantificação de segurança é, em particular, importante na construção de métricas relevantes para apoiar as decisões que devem ser tomadas para a proteção de sistemas e redes. O objetivo deste trabalho foi propor soluções para auxiliar o desenvolvimento de modelos de quantificação de segurança aplicados em ambientes reais. Três diferentes abordagens foram usadas para a investigação do problema: identificação de limitações nos métodos existentes na literatura, investigação de fatores que influenciam a segurança de uma organização e a criação e aplicação de um questionário para investigar o uso de métricas na prática. Os estudos foram conduzidos usando dados fornecidos pela University of Maryland e pelo Centro de Atendimento a Incidentes de Segurança (CAIS) vinculado a Rede Nacional de Pesquisa (RNP). Os resultados mostraram que as organizações podem se beneficiar de análises mais rigorosas e eficientes a partir do uso de métricas de segurança e que a continuidade das pesquisas nessa área está intimamente ligada ao desenvolvimento de estudos em sistemas reais / Abstract: With the increase in the number and diversity of attacks, a critical concern for organizations is to keep their network secure. To understand the actions that lead to successful attacks and also how they can be mitigated, researchers should identify and measure the factors that influence both attackers and victims. Quantifying security is particularly important to construct relevant metrics that support the decisions that need to be made to protect systems and networks. In this work, we aimed at proposing solutions to support the development of security quantification models applied in real environments. Three different approaches were used to investigate the problem: identifying issues on existing methods, evaluating metrics using empirical analysis and conducting a survey to investigate metrics in practice. Studies were conducted using data provided by the University of Maryland and also by the Security Incident Response Team (CAIS) from the National Education and Research Network (RNP). Our results showed that organizations could better manage security by employing security metrics and also that future directions in this field are related to the development of studies on real systems / Doutorado / Telecomunicações e Telemática / Doutor em Engenharia Elétrica

Software fault prediction (SFP) has an important role in the process of improving software product quality by identifying fault-prone modules. Constructing quality models includes a usage of metrics that describe real world entities defined by numbers or attributes. Examining the nature of machine learning (ML), researchers proposed its algorithms as suitable for fault prediction. Moreover, information that software metrics contain will be used as statistical data necessary to build models for a certain ML algorithm. One of the most used ML algorithms is a Bayesian network (BN), which is represented as a graph, with a set of variables and relations between them. This thesis will be focused on the usage of process and static code metrics with BN learners for SFP. First, we provided an informal review on non-static code metrics. Furthermore, we created models that contained different combinations of process and static code metrics, and then we used them to conduct an experiment. The results of the experiment were statistically analyzed using a non-parametric test, the Kruskal-Wallis test. The informal review reported that non-static code metrics are beneficial for the prediction process and its usage is highly recommended for industrial projects. Finally, experimental results did not provide a conclusion which process metric gives a statistically significant result; therefore, a further investigation is needed.

<p>What is game studies? What separates that inter/disciplinary space from a larger notion of games research—and who decides? In recent years, scientometric research within game studies has increased as scholars have attempted to more concretely define a field which has been volatile since its formal origins in the early 2000s. But a recent controversy between scientometrics and gender studies (Lykke, 2018) has revealed a potential shortfall with relying on metric studies alone. Metrics can reveal which theories, themes, and scholars have been most privileged within a discipline, but only within predetermined boundaries, a limitation in a multi-disciplinary field which begs the question of who gets to determine those boundaries. Games research draws from many fields, from media studies to literature to computer science and psychology, but unless that work makes it into game studies journals, it will never be included within a metric analysis of game studies. In many fields, these boundaries may arise organically to create disciplinary lines. In game studies, however, anecdotal evidence indicates such boundaries have historically excluded work grounded in feminist, queer, and critical race theories. This project therefore employs a mixed methods approach to metrics research that allows for a broader view of not just game studies, but games research. This mixed methods approach, which I call <i>rhetorical metrics</i>, utilizes contextualized metric data to create a rhetorical approach to the scientometric measurement of a field, thereby providing empirical data underscoring anecdotal knowledge of exclusions in game studies. </p><p>In this project, I build on previous metric analyses of game studies by thickening data with additional perspectives. This data includes gender identity information, keyword clusters on themes beyond traditional game studies, such as information on race or queerness in games, and data on scholars who publish inside and outside of game studies journals. By revealing where different types of scholarship on games appear, and where certain knowledges are privileged (or not), this form of expanded, intersectional metric analysis allows for a more inclusive view of games studies than current studies provide, and results in a flexible research methodology that can be similarly applied to other inter- and multidisciplinary fields. </p>

No description available.

This document explains the use of different metrics involved with record linkage. There are two forms of record linkage: deterministic and probabilistic. We will focus on probabilistic record linkage used in merging and updating two databases. Record pairs will be compared using character-based and phonetic-based similarity metrics to determine at what level they match. Performance measures are then calculated and Receiver Operating Characteristic (ROC) curves are formed. Finally, an economic model is applied that returns the optimal tolerance level two databases should use to determine a record pair match in order to maximize profit.

No description available.

No description available.

The overall goal of this thesis is to better understand changes in the spatial pattern of urban growth and its impact on landscape configuration by conducting a case study in Greater Chengdu, an inland megacity in China. The objectives are as follows: 1) Quantifying changes in the spatial pattern of the study area between 2003 and 2013; 2) Evaluating the degree of urban sprawl over that period; 3) Evaluating urban expansion dynamics; and 4) Examining and defining the types of urban growth. Satellite imagery was employed to distinguish and identify different land surface categories. Integrated remote sensing and GIS (Geographic Information System) technique was used to analyse both qualitative and quantitative perspectives regarding the objectives. The results indicate that the urban area of Greater Chengdu doubled from 525.5 km2 to 1191.85 km2 during 2003 to 2013. The geographic footprint demonstrates that the distribution of the built-up area was dispersed and continues to grow more dispersed. The dominant type of urban growth is outward expansion, by which the city grew within a 10 km to 25 km radius surrounding the city center. A substantial infill phenomenon exists between a 5 km and 10 km radius from the city center. The urban core boundary expanded outward by 5 km, while the fringe of suburban area expanded outward by 10 km during the time period, which both indicate a substantial outward expansion over the city. The significant contribution of this study could benefit to many aspects such as comparative studies between cities or continuous studies relevant to urban growth.

Excessive coupling between object-oriented classes in systems is generally acknowledged as harmful and is recognised as a maintenance problem that can result in a higher propensity for faults in systems and a „stored up‟ future problem. Characterisation and understanding coupling at different levels of abstraction is therefore important for both the project manager and developer both of whom have a vested interest in software quality. In this Thesis, coupling trends are empirically investigated over multiple versions of seven Java open-source systems (OSS). The first investigation explores the trends in longitudinal changes to open-source systems given by six coupling metrics. Coupling trends are then explored from the perspective of: the relationship between removed classes and their coupling with other classes in the same package; the relationships between coupling and 'warnings’ in packages and the time interval between versions in Java OSS; the relationship between some of these coupling metrics are also explored. Finally, the existence of an 80/20 rule for the coupling metrics is inspected. Results suggest that developer activity comprises a set of high and low periods (peak and trough‟ effect) evident as a system evolves. Findings also demonstrate that addition of coupling may have beneficial effects on a system, particularly if they are added as new functionality through the package Java feature. The fan-in and fan-out coupling metrics reveal particular features and exhibited a wide range of traits in the classes depending on their high or low values; finally, we revealed that one metric (fan-in) is the only metric that appears consistently to exhibit an 80/20 (Pareto) relationship.