<p>This project presents the research on software visualization techniques. We will introduce the concepts of software visualization, software metrics and our proposed visualization techniques: Static Visualization (glyphs object with static texture) and Dynamic Visualization (glyphs object with moving object). Our intent to study the existing visualization techniques for visualization of software</p><p>metrics and then proposed the new visualization approach that is more time efficient and easy to perceive by viewer. In this project, we focus on the practical aspects of visualization of multivariate dataset. This project also gives an implementation of proposed visualization techniques of software metrics. In this research based work, we have to compare practically the proposed visualization approaches. We will discuss the software development life cycle of our proposed visualization system, and we will also describe the complete software implementation of implemented software.</p>

Σκοπός της εργασίας μας είναι η μελέτη κάποιων αναγωγικών χώρων που παρουσιάζουν ενδιαφέρουσα γεωμετρία. Συγκεκριμένα, μελετάμε τη γεωμετρία της σφαίρας S^n όταν αυτή είναι αμφιδιαφορική με έναν χώρο πηλίκο G/K και την γεωμετρία των πολλαπλοτήτων Stiefel SO(n)/SO(n-k) (το σύνολο όλων των k-πλαισίων του R^n). Ένας ομογενής χώρος αποτελεί επέκταση των ομάδων Lie, καθώς είναι μια λεία πολλαπλότητα M στην οποία δρα μεταβατικά μια ομάδα Lie G. Κάθε τέτοιος χώρος δίνεται ως M = G/K, όπου K = {g\in G : gp = p} (p \in M). Η βασική γεωμετρική ιδιότητα των ομογενών χώρων είναι ότι αν γνωρίζουμε την τιμή κάποιου γεωμετρικού μεγέθους σε ένα σημείο του χώρου, τότε μπορούμε να υπολογίσουμε την τιμή του μεγέθους αυτού σε οποιοδήποτε άλλο σημείο. Το ιδιαίτερο χαρακτηριστικό των αναγωγικών χώρων G/K είναι ότι υπάρχει ένας Ad(K)-αναλλοίωτος υπόχωρος της άλγεβρας Lie(G). Η περιγραφή όλων των μεταβατικών δράσεων μιας ομάδας Lie σε μια πολλαπλότητα M αποτελεί ένα δύσκολο πρόβλημα. Για την περίπτωση των σφαιρών αυτές έχουν περιγραφτεί το 1953 από τους Montgomery-Samelson-Borel. Στην εργασία μας μελετάμε τη γεωμετρία (καμπυλότητες, μετρικές Einstein) των σφαιρών S^3, S^5 όταν αυτές είναι αμφιδιαφορικές με τα πηλίκα S^3 = SO(4)/SO(3) = SU(2) και S^5 = SO(6)/SO(5) = SU(3)/SU(2). Αντίστοιχα προβλήματα εξετάζονται για τις πολλαπλότητες Stiefel SO(n)/SO(n-k), όπου η περιγραφή όλων των SO(n)-αναλλοίωτων μετρικών παρουσιάζει δυσκολία, λόγω του ότι η ισοτροπική αναπαράστασή τους περιέχει ισοδύναμα υποπρότυπα. Μελετάμε για ποιές από τις συγκεκριμένες πολλαπλότητες η μετρική που επάγεται από τη μορφή Killing είναι μετρική Einstein και περιγράφουμε αναλυτικά τις διαγώνιες SO(n)-αναλλοίωτες μετρικές Einstein στις πολλαπλότητες SO(n)/SO(n-2). Επιπλέον παρουσιάζουμε και ένα καινούργιο αποτέλεσμα, ότι στην πολλαπλότητα SO(5)/SO(2) οι μοναδικές SO(5)-αναλλοίωτες μετρικές Einstein είναι οι μετρικές που είχαν βρεθεί από τον Jensen το 1973. / The purpose of our work is to study homogeneous spaces that present interesting geometry. These include the geometry of the sphere S^n diffeomorphic to a quotient space G/K and the geometry of Stiefel manifolds SO(n)/SO(n-k) (the set of all k-planes in R^n). A homogeneous space is a smooth manifold M in which a Lie group acts transitively. Any such space is given as M = G/K where K = {g\in G : gp = p} (p\in M). The basic geometric property of homogeneous space is that if we know the value of a geometrical object at a point of the space, then we can estimate the value of thiw quantity at any other point. The special feature of reductive homogeneous space G/K is that there exists an Ad(K)-invariant subspace of the Lie algebra Lie(G). The description of all transitive actions of a Lie group into a manifold M is a difficult problem. In the case of spheres such actions have been described in 1953 by the Montgomery, Samelson and Borel. In our work we study the geometry (curvature, Einstein metrics) of the sphere S^3 = SO(4)/SO(3) = SU(2), S^5 = SO(6)/SO(5) = SU(3)/SU(2). Similar problems are examined for the Stiefel manifolds SO(n)/SO(n-k). The description of all SO(n)-invariant metrics presents serious difficulties because the isotropy representation contains equivalent submodules. We study for which of the manifolds SO(n)/SO(n-k) the metric induced by the Killing form is an Einstein metric and we describe in detail the diagonal SO(n)-invariant Einstein metrics on the Stiefel manifolds SO(n)/SO(n-2). In addition, we give the new result that for the Stiefel manifold SO(5)/SO(2) the unique SO(5)-invariant Einstein metrics are the metrics found by Jensen in 1973.

The presented dissertation entitled „Development and Validation of a Landscape Metrics Based Approach for Standardized Landscape Assessment Considering Spatial Patterns” addresses three main questions: I. Which ecosystem services depend on landscape structure? II. How can landscape metrics be used to achieve a standardized routine for assessing the impact of landscape structure on the hereon dependent ecosystem services? III. How can regional planning benefit from the consideration of landscape structural effects on the provision of ecosystem services? The PhD study was carried out in the context of the Climate Change adaptation project REGKLAM (funding code 01 LR 0802). The work package “Land Use” was conducted at the Institute of Soil Science and Site Ecology of the TU Dresden under the direction of Prof. Dr. Makeschin. The PhD study took place in the framework of a sub-work package of it, which was called “Integrated Land Use Assessment”. The aim of this sub-work package was the evaluation of Climate Change adaptation strategies at the landscape scale in a cross-sectoral manner. The ecosystem services concept was chosen as methodological framework for this purpose. Particular motivation of this PhD study was that landscape structural aspects are often not sufficiently considered in commonly used ecosystem services assessment approaches. A standardized assessment procedure regarding the impact of the composition and configuration of land use/ land cover types is not yet existent in contemporary planning approaches, neither in strategic environmental assessment. In my thesis, I developed in the period from 2010 to 2014 a methodological basis which addresses this challenge. My thesis was realized as cumulative dissertation, which consists of three articles. These articles are published in peer-reviewed, ISI-listed international journals, whereas the third article still is in press. The short introduction in chapter one gives information on the motivation and the structure of the thesis. In chapter two, the research hypothesis is formulated and scope and objectives are explained. Chapter three gives an overview of the history of landscape metrics, the state-of-the-art, and current research in topic. In chapter four, the model region, focus areas, and the methodological basis are described. The fifth chapter summarizes results of the three articles (Frank et al. 2012, 2013, in press). Discussions in chapter six critically reflect the methodology and identify limitations, strengths, and its contribution to regional planning and to decision-making. Furthermore, some suggestions for extending the approach to other ecosystem services, especially regulating services, are made and perspectives towards different research questions are shown. Chapter seven summarizes the main outcomes of the PhD study. The central output of the dissertation is a module of GISCAME, a land use change impact assessment platform for supporting regional planning. The landscape metrics based ecosystem services assessment approach facilitates calculation, combination, and interpretation of a choice of landscape metrics and, hence, the evaluation of the impact of composition and configuration of land use patterns on ecosystem services. I selected eleven focus areas in the planning region “Upper Elbe Valley/Eastern Ore Mountains” to demonstrate the application and validation of the landscape metrics based approach that I propose in my dissertation. With these use cases, I show that the landscape structure significantly influences the provision of the ecosystem services ecological integrity and landscape aesthetics. Within the first use case I could demonstrate that the afforestation planning can be enhanced by including landscape metrics in the planning process. Actual priority areas for afforestation do not contribute to ecological integrity at the regional scale. Landscape fragmentation, habitat connectivity, and landscape diversity must be taken into account in order to identify most efficient priority areas for afforestation in terms of enhancing ecological integrity. The second use case focused on the question, how landscape structure influences scenic beauty. By means of a survey, I performed a comparison between the landscape metrics based approach and landscape perception of 153 respondents. This test underpinned my assumption that a landscape metrics based routine allows conclusions on the value of landscape aesthetics. The third use case gives practical advice in the current planning challenge about how to enhance water erosion protection planning in the context of Climate Change. Here, I demonstrated that not only land use change in preferential water erosion paths, but especially the change of management strategies combined with an improvement of landscape structure have the capacity to reduce water erosion potential by 92 %. The results show that it is of great importance to consider landscape structural aspects in current and future regional planning questions because additional, relevant planning information becomes tangible. The comparison of the presented method with other landscape metrics based approaches for ecosystem services assessment shows that the interpretation of the landscape metric values in the GISCAME platform module goes one step further towards usability for planning support: its transparency, spatial transferability, and flexibility are the main strengths of the approach. However, there is a clear need to involve the impact of landscape structure aspects also regarding other ecosystem services. / Die vorgelegte Dissertation mit dem Titel „Entwicklung und Validierung eines auf Landschaftsstrukturmaßen basierten Ansatzes zur standardisierten Landschaftsbewertung unter Berücksichtigung räumlicher Muster“ behandelt die drei Hauptfragen I. Welche Ökosystemdienstleistungen hängen von der Landschaftsstruktur ab? II. Wie können Landschaftsstrukturmaße genutzt werden, um ein standardisiertes Bewertungsverfahren dieser abhängigen Ökosystemdienstleistungen zu ermöglichen? III. Wie kann die Regionalplanung von der Berücksichtigung der Effekte von Landschaftsstruktur auf die Bereitstellung von Ökosystemdienstleistungen profitieren? Die Promotions-Studie wurde im Rahmen des Klimawandel-Anpassungs-Projektes REGKLAM (Förderkennzeichen 01 LR 0802) durchgeführt. Das Arbeitspaket „Landnutzung“ wurde am Institut für Bodenkunde und Standortslehre der TU Dresden unter Leitung von Prof. Dr. Makeschin bearbeitet. Die Promotions-Studie erfolgte im Rahmen des Teil-Arbeitstaktes „Integrierte Landnutzungsbewertung“. Ziel dieses Teil-Arbeitspaketes war die Bewertung von Klimawandel-Anpassungs-Strategien auf Landschaftsebene in Sektor-übergreifender Weise. Zu diesem Zweck wurde das Ökosystemdienstleistungskonzept als methodischer Rahmen gewählt. Der spezielle Anlass dieser Promotion-Studie war, dass landschaftsstrukturelle Aspekte in gebräuchlichen Ökosystemdienstleistungs-Bewertungsansätzen oft ungenügend berücksichtigt sind. Ein standardisiertes Bewertungsverfahren des Einflusses von Zusammensetzung und Anordnung von Landnutzungs-/Landbedeckungstypen existiert weder in aktuellen Planungsansätzen noch in Umweltverträglichkeitsprüfungen. In meiner Dissertation entwickelte ich im Zeitraum von 2010 bis 2014 eine methodische Grundlage, welche diese Herausforderung angeht. Meine Promotion wurde als kumulative Dissertation, welche aus drei Artikeln besteht, umgesetzt. Diese Artikel wurden in begutachteten, ISI-gelisteten, internationalen Journalen veröffentlicht, wobei sich das dritte aktuell im Druck befindet. Die kurze Einleitung im ersten Kapitel informiert über die Beweggründe und die Struktur der Dissertation. Im zweiten Kapitel ist die Forschungshypothese formuliert sowie Geltungsbereich und Zeile erläutert. Kapitel drei gibt einen Überblick über die Geschichte der Landschaftsstrukturmaße, den aktuellen Forschungsstand und aktuelle Forschungsfelder. Im vierten Kapitel sind die Modellregion, die Fallstudien-Gebiete, sowie methodische Grundlagen beschrieben. Das fünfte Kapitel fasst die Ergebnisse der drei Artikel (Frank et al. 2012, 2013, im Druck) zusammen. Diskussionen in Kapitel sechs reflektieren die Methodik kritisch und identifizieren ihre Grenzen und Stärken sowie den Beitrag der Ergebnisse zu Regionalplanung und Entscheidungsfindung. Darüber hinaus werden einige Empfehlungen zur Erweiterung des Ansatzes für weitere Ökosystemdienstleistungen, insbesondere regulierende Leistungen, getroffen und Perspektiven zur Anwendung für andere Forschungsfragen werden aufgezeigt. Kapitel sieben fasst schließlich die wichtigsten Ergebnisse der Promotions-Studie zusammen. Das zentrale Ergebnis der Dissertation ist eine Erweiterung des Entscheidungsunterstützungs-Werkzeuges GISCAME. Der auf Landschaftsstrukturmaßen basierende Ökosystemdienstleistungs-Bewertungsansatz ermöglicht die Berechnung, Kombination und Interpretation einer Auswahl von Landschaftsstrukturmaßen und somit die Bewertung des Einflusses von Zusammensetzung und Anordnung von Landnutzungsmustern auf Ökosystemdienstleistungen. Ich wählte elf Fokusgebiete in der Planungsregion „Oberes Elbtal/Osterzgebirge“ aus um die Anwendung und Validierung des auf Landschaftsstrukturmaßen basierenden Ansatzes, den ich in der Dissertation vorschlage, zu demonstrieren. Mittels dieser Anwendungsfälle zeige ich, dass die Landschaftsstruktur die Bereitstellung der Ökosystemdienstleistungen ökologische Integrität und Landschaftsästhetik erheblich beeinflusst. Im ersten Anwendungsfall konnte ich zeigen, dass die Aufforstungsplanung durch die Einbeziehung von Landschaftsstrukturmaßen in den Planungsprozess verbessert werden kann. Vorranggebiete für Waldmehrung in ihrer derzeitigen Form tragen nicht zur ökologischen Integrität auf der regionalen Ebene bei. Landschaftszerschneidung, Biotopverbund und Landschaftsdiversität müssen vermehrt beachtet werden, um Vorranggebiete für Waldmehrung für eine Verbesserung der ökologischen Intaktheit effizienter anzuordnen. Der zweite Anwendungsfall richtete sich auf die Frage, wie Landschaftsstruktur die Landschaftsästhetik beeinflusst. Mithilfe einer Befragung verglich ich den auf Landschaftsstrukurmaßen basierenden Ansatz mit der Landschaftswahrnehmung von 153 Befragten. Dieser Test untermauerte meine Annahme, dass das auf Landschaftsstrukurmaßen basierende Vorgehen Rückschlüsse auf den ästhetischen Wert einer Landschaft zulässt. Der dritte Anwendungsfall gibt praktische Hinweise bezüglich der aktuellen Planungs-Herausforderung, wie Erosionsschutzplanung im Kontext des Klimawandels verbesset werden kann. In diesem Fall konnte ich zeigen, dass nicht nur Landnutzungsänderungen in präferenziellen Abflussbahnen, sondern insbesondere eine Änderung der Bodenbearbeitungsstrategie in Kombination mit verbesserter Landschaftsstruktur das Potential hat, die potentielle Wassererosion um 92 % zu reduzieren. Die Ergebnisse zeigen, dass es von großer Bedeutung ist, landschaftsstrukturelle Aspekte in aktuellen und zukünftigen Planungsfragen zu berücksichtigen, da somit zusätzliche, maßgebliche Informationen greifbar werden. Der Vergleich der vorliegenden Methodik mit anderen Ansätzen, die Landschaftsstrukturmaße nutzen um Ökosystemdienstleistungen zu bewerten, zeigt, dass die automatisierte Interpretation der Landschaftsstrukturmaße mittels des neuen Moduls in GISCAME einen Schritt in Richtung Nützlichkeit für Planungsunterstützung geht: Transparenz, räumliche Übertragbarkeit und Flexibilität sind weitere Stärken des Ansatzes. Jedoch gibt es eindeutig den Bedarf den Einfluss von Landschaftsstruktur auf weitere Ökosystemdienstleistungen einzubeziehen.

Software quality ensures that applications that are developed are failure free. Some modern systems are intricate, due to the complexity of their information processes. Software fault prediction is an important quality assurance activity, since it is a mechanism that correctly predicts the defect proneness of modules and classifies modules that saves resources, time and developers’ efforts. In this study, a model that selects relevant features that can be used in defect prediction was proposed. The literature was reviewed and it revealed that process metrics are better predictors of defects in version systems and are based on historic source code over time. These metrics are extracted from the source-code module and include, for example, the number of additions and deletions from the source code, the number of distinct committers and the number of modified lines. In this research, defect prediction was conducted using open source software (OSS) of software product line(s) (SPL), hence process metrics were chosen. Data sets that are used in defect prediction may contain non-significant and redundant attributes that may affect the accuracy of machine-learning algorithms. In order to improve the prediction accuracy of classification models, features that are significant in the defect prediction process are utilised. In machine learning, feature selection techniques are applied in the identification of the relevant data. Feature selection is a pre-processing step that helps to reduce the dimensionality of data in machine learning. Feature selection techniques include information theoretic methods that are based on the entropy concept. This study experimented the efficiency of the feature selection techniques. It was realised that software defect prediction using significant attributes improves the prediction accuracy. A novel MICFastCR model, which is based on the Maximal Information Coefficient (MIC) was developed to select significant attributes and Fast Correlation Based Filter (FCBF) to eliminate redundant attributes. Machine learning algorithms were then run to predict software defects. The MICFastCR achieved the highest prediction accuracy as reported by various performance measures. / School of Computing / Ph. D. (Computer Science)

SILVA, Adam Oliveira da. Rigidez de métricas críticas para funcionais riemannianos. 2017. 78 f. Tese (Doutorado em Matemática) – Centro de Ciências, Universidade Federal do Ceará, Fortaleza, 2017. / Submitted by Andrea Dantas (pgmat@mat.ufc.br) on 2017-09-19T19:08:04Z No. of bitstreams: 1 2017_tese_aosilva.pdf: 481005 bytes, checksum: 2bdfc6ab68b042a5cfd4f67caf1e21e4 (MD5) / Rejected by Rocilda Sales (rocilda@ufc.br), reason: Bom dia, Estou devolvendo a Tese de ADAM OLIVEIRA DA SILVA, para que o arquivo seja substituído, pois o aluno já veio na BCM e orientei quais eram as correções a serem feitas. Atenciosamente, on 2017-09-20T14:03:26Z (GMT) / Submitted by Andrea Dantas (pgmat@mat.ufc.br) on 2017-09-20T16:47:21Z No. of bitstreams: 1 2017_tese_aosilva.pdf: 480774 bytes, checksum: a1267dd82f8a82a19f79902004e1afb5 (MD5) / Approved for entry into archive by Rocilda Sales (rocilda@ufc.br) on 2017-09-21T12:26:34Z (GMT) No. of bitstreams: 1 2017_tese_aosilva.pdf: 480774 bytes, checksum: a1267dd82f8a82a19f79902004e1afb5 (MD5) / Made available in DSpace on 2017-09-21T12:26:35Z (GMT). No. of bitstreams: 1 2017_tese_aosilva.pdf: 480774 bytes, checksum: a1267dd82f8a82a19f79902004e1afb5 (MD5) Previous issue date: 2017-09-15 / The aim of this work is to study metrics that are critical points for some Riemannian functionals. In the first part, we investigate critical metrics for functionals which are quadratic in the curvature on closed Riemannian manifolds. It is known that space form metrics are critical points for these functionals, denoted by F t,s (g). Moreover, when s = 0, always Einstein metrics are critical to F t (g). We proved that under some conditions the converse is true. For instance, among others results, we prove that if n ≥ 5 and g is a Bach-flat critical metric to F −n/4(n−1) , with second elementary symmetric function of the Schouten tensor σ 2 (A) > 0, then g should be Einstein. Furthermore, we show that a locally conformally flat critical metric with some additional conditions are space form metrics. In the second part, we study the critical metrics to volume functional on compact Riemannian manifolds with connected smooth boundary. We call such critical points of Miao-Tam critical metrics due to the variational study making by Miao and Tam (2009). In this work, we show that the geodesics balls in space forms Rn , Sn and Hn have the maximum possible boundary volume among Miao-Tam critical metrics with connected boundary provided that the boundary be an Einstein manifold. In the same spirit, we also extend a rigidity theorem due to Boucher et al. (1984) and Shen (1997) to n-dimensional static metrics with positive constant scalar curvature, which give us another way to get a partial answer to the Cosmic no-hair conjecture already obtained by Chrusciel (2003). / Este trabalho tem como principal objetivo estudar métricas que são pontos críticos de alguns funcionais Riemannianos. Na primeira parte, investigaremos métricas críticas de funcionais que são quadráticos na curvatura sobre variedades Riemannianas fechadas. É de conhecimento que métricas tipo formas espaciais são pontos críticos para tais funcionais, denotados aqui por F t,s (g). Além disso, no caso s = 0, métricas de Einstein são sempre críticas para F t (g). Provamos que sob algumas condições, a recíproca destes fatos são verdadeiras. Por exemplo, dentre outros resultados, provamos que se n ≥ 5 e g é uma métrica Bach-flat crìtica para F−n/4(n−1) com segunda função simétrica elementar do tensor de Schouten σ 2 (A) > 0, então g tem que ser métrica de Einstein. Ademais, mostramos que uma métrica crítica localmente conformemente plana, com algumas hipóteses adicionais, tem que ser tipo forma espacial. Na segunda parte, estudamos as métricas críticas do funcional volume sobre variedades Riemannianas compactas com bordo suave conexo. Chamamos tais pontos críticos de métricas críticas de Miao-Tam, devido ao estudo variacional feito por Miao e Tam (2009). Neste trabalho provamos que as bolas geodésicas das formas espaciais Rn , S n e H n possuem o valor máximo para o volume do bordo dentre todas as métricas críticas de Miao-Tam com bordo conexo, desde que o bordo seja uma variedade de Einstein. No mesmo sentido, também estendemos um teorema de rigidez devido à Boucher et al. (1984) e Shen (1997) para métricas estáticas de dimensão n e com curvatura escalar constante positiva, o qual nos fornece outra maneira para obter uma resposta parcial para a Cosmic no-hair conjecture já obtida por Chrusciel (2003).

Ao tomar decisões de marketing mix, o gestor de marketing tem a sua disposição uma grande quantidade de métricas para definição de suas metas e avaliação dos impactos das atividades de marketing. O presente estudo determina as variáveis condutoras do uso gerencial de métricas durante a tomada de decisões de marketing mix, com base no modelo de Mintz e Currim (2013). A análise de 245 atividades de marketing mix reportadas por 163 gestores de médias e grandes empresas brasileiras demonstra que a estratégia da empresa, a orientação para métricas e a accountability financeira do profissional de marketing tem um maior impacto sobre o uso de métricas financeiras e de marketing do que as características da empresa e do ambiente de atuação. Ademais, o uso de métricas financeiras é também influenciado pelas características gerenciais do gestor de marketing. Estes resultados contrariam os achados de Mintz e Currim (2013), que indicam uma forte influência das características da empresa e do ambiente no qual o gestor atua sobre o uso de métricas. Do ponto de vista teórico, os achados indicam que a teoria da agência e a teoria da homofilia explicam melhor o uso gerencial de métricas do que a teoria contingencial. As decisões reportadas também demonstram uma forte associação entre o uso de métricas de marketing e a performance das atividades de marketing mix, mas uma associação muito fraca entre esta performance e o uso de medidas financeiras. Por fim, apesar da grande cobrança para que os executivos de marketing associem suas atividades aos resultados financeiros da empresa (SRIVASTAVA; SHERVANI; FAHEY, 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), os dados indicam uso restrito de métricas financeiras como Payback, Valor Presente do Fluxo de Caixa e Taxa Interna de Retorno e um amplo uso de métricas de Marketing como Participação de Mercado, Satisfação do Cliente e Qualidade Percebida. / While making a marketing mix decision, marketers have a large number of metrics to setting goals and to evaluate the impacts of their marketing activities. This study determines the impact of environmental, firm, and managerial characteristics on metric use in marketing mix decision, based on the Mintz and Currim’s (2013) model. The analysis of 245 marketing-mix activities, which were reported by 163 Brazilian managers, demonstrates that firm strategy, metric orientation, and marketing financial accountability have a stronger impact on marketing and financial metric use than firm and environmental characteristics do. Furthermore, managerial characteristics have a strong impact on financial metric use. These results are different from Mintz and Currim’s findings (2013). The authors indicate firm and environmental characteristics are the most important drivers of marketing and financial metric use. From a theoretical perspective, the findings indicate that agency theory and homophily theory are more useful in explaining the managerial metric use in marketing mix activities than the contingency theory is. The analysis also reveals that marketing metric use is positively associated with marketing-mix performance, but the financial metric use is not. Finally, despite the great pressure for linking marketing-mix activities with financial metrics (SRIVASTAVA; SHERVANI; FAHEY; 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), the reported activities indicate not just a limited use of financial metrics such as Payback, Cash Flow, and Internal Rate of Return, but also widespread use of marketing metrics such as Market Share, Customer Satisfaction, and Perceived Quality.

Ao tomar decisões de marketing mix, o gestor de marketing tem a sua disposição uma grande quantidade de métricas para definição de suas metas e avaliação dos impactos das atividades de marketing. O presente estudo determina as variáveis condutoras do uso gerencial de métricas durante a tomada de decisões de marketing mix, com base no modelo de Mintz e Currim (2013). A análise de 245 atividades de marketing mix reportadas por 163 gestores de médias e grandes empresas brasileiras demonstra que a estratégia da empresa, a orientação para métricas e a accountability financeira do profissional de marketing tem um maior impacto sobre o uso de métricas financeiras e de marketing do que as características da empresa e do ambiente de atuação. Ademais, o uso de métricas financeiras é também influenciado pelas características gerenciais do gestor de marketing. Estes resultados contrariam os achados de Mintz e Currim (2013), que indicam uma forte influência das características da empresa e do ambiente no qual o gestor atua sobre o uso de métricas. Do ponto de vista teórico, os achados indicam que a teoria da agência e a teoria da homofilia explicam melhor o uso gerencial de métricas do que a teoria contingencial. As decisões reportadas também demonstram uma forte associação entre o uso de métricas de marketing e a performance das atividades de marketing mix, mas uma associação muito fraca entre esta performance e o uso de medidas financeiras. Por fim, apesar da grande cobrança para que os executivos de marketing associem suas atividades aos resultados financeiros da empresa (SRIVASTAVA; SHERVANI; FAHEY, 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), os dados indicam uso restrito de métricas financeiras como Payback, Valor Presente do Fluxo de Caixa e Taxa Interna de Retorno e um amplo uso de métricas de Marketing como Participação de Mercado, Satisfação do Cliente e Qualidade Percebida. / While making a marketing mix decision, marketers have a large number of metrics to setting goals and to evaluate the impacts of their marketing activities. This study determines the impact of environmental, firm, and managerial characteristics on metric use in marketing mix decision, based on the Mintz and Currim’s (2013) model. The analysis of 245 marketing-mix activities, which were reported by 163 Brazilian managers, demonstrates that firm strategy, metric orientation, and marketing financial accountability have a stronger impact on marketing and financial metric use than firm and environmental characteristics do. Furthermore, managerial characteristics have a strong impact on financial metric use. These results are different from Mintz and Currim’s findings (2013). The authors indicate firm and environmental characteristics are the most important drivers of marketing and financial metric use. From a theoretical perspective, the findings indicate that agency theory and homophily theory are more useful in explaining the managerial metric use in marketing mix activities than the contingency theory is. The analysis also reveals that marketing metric use is positively associated with marketing-mix performance, but the financial metric use is not. Finally, despite the great pressure for linking marketing-mix activities with financial metrics (SRIVASTAVA; SHERVANI; FAHEY; 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), the reported activities indicate not just a limited use of financial metrics such as Payback, Cash Flow, and Internal Rate of Return, but also widespread use of marketing metrics such as Market Share, Customer Satisfaction, and Perceived Quality.

This project presents the research on software visualization techniques. We will introduce the concepts of software visualization, software metrics and our proposed visualization techniques: Static Visualization (glyphs object with static texture) and Dynamic Visualization (glyphs object with moving object). Our intent to study the existing visualization techniques for visualization of software metrics and then proposed the new visualization approach that is more time efficient and easy to perceive by viewer. In this project, we focus on the practical aspects of visualization of multivariate dataset. This project also gives an implementation of proposed visualization techniques of software metrics. In this research based work, we have to compare practically the proposed visualization approaches. We will discuss the software development life cycle of our proposed visualization system, and we will also describe the complete software implementation of implemented software.

Ao tomar decisões de marketing mix, o gestor de marketing tem a sua disposição uma grande quantidade de métricas para definição de suas metas e avaliação dos impactos das atividades de marketing. O presente estudo determina as variáveis condutoras do uso gerencial de métricas durante a tomada de decisões de marketing mix, com base no modelo de Mintz e Currim (2013). A análise de 245 atividades de marketing mix reportadas por 163 gestores de médias e grandes empresas brasileiras demonstra que a estratégia da empresa, a orientação para métricas e a accountability financeira do profissional de marketing tem um maior impacto sobre o uso de métricas financeiras e de marketing do que as características da empresa e do ambiente de atuação. Ademais, o uso de métricas financeiras é também influenciado pelas características gerenciais do gestor de marketing. Estes resultados contrariam os achados de Mintz e Currim (2013), que indicam uma forte influência das características da empresa e do ambiente no qual o gestor atua sobre o uso de métricas. Do ponto de vista teórico, os achados indicam que a teoria da agência e a teoria da homofilia explicam melhor o uso gerencial de métricas do que a teoria contingencial. As decisões reportadas também demonstram uma forte associação entre o uso de métricas de marketing e a performance das atividades de marketing mix, mas uma associação muito fraca entre esta performance e o uso de medidas financeiras. Por fim, apesar da grande cobrança para que os executivos de marketing associem suas atividades aos resultados financeiros da empresa (SRIVASTAVA; SHERVANI; FAHEY, 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), os dados indicam uso restrito de métricas financeiras como Payback, Valor Presente do Fluxo de Caixa e Taxa Interna de Retorno e um amplo uso de métricas de Marketing como Participação de Mercado, Satisfação do Cliente e Qualidade Percebida. / While making a marketing mix decision, marketers have a large number of metrics to setting goals and to evaluate the impacts of their marketing activities. This study determines the impact of environmental, firm, and managerial characteristics on metric use in marketing mix decision, based on the Mintz and Currim’s (2013) model. The analysis of 245 marketing-mix activities, which were reported by 163 Brazilian managers, demonstrates that firm strategy, metric orientation, and marketing financial accountability have a stronger impact on marketing and financial metric use than firm and environmental characteristics do. Furthermore, managerial characteristics have a strong impact on financial metric use. These results are different from Mintz and Currim’s findings (2013). The authors indicate firm and environmental characteristics are the most important drivers of marketing and financial metric use. From a theoretical perspective, the findings indicate that agency theory and homophily theory are more useful in explaining the managerial metric use in marketing mix activities than the contingency theory is. The analysis also reveals that marketing metric use is positively associated with marketing-mix performance, but the financial metric use is not. Finally, despite the great pressure for linking marketing-mix activities with financial metrics (SRIVASTAVA; SHERVANI; FAHEY; 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), the reported activities indicate not just a limited use of financial metrics such as Payback, Cash Flow, and Internal Rate of Return, but also widespread use of marketing metrics such as Market Share, Customer Satisfaction, and Perceived Quality.

Context. Human oracle cost, the cost associated in estimating the correctness of the output for the given test inputs is manually evaluated by humans and this cost is significant and is a concern in the software test data generation field. This study has been designed in the context to assess metrics that might predict human oracle cost. Objectives. The major objective of this study is to address the human oracle cost, for this the study identifies the metrics that are good predictors of human oracle cost and can further help to solve the oracle problem. In this process, the identified suitable metrics from the literature are applied on the test input, to see if they can help in predicting the correctness of the output for the given test input. Methods. Initially a literature review was conducted to find some of the metrics that are relevant to the test data. Besides finding the aforementioned metrics, our literature review also tries to find out some possible code metrics that can be ap- plied on test data. Before conducting the actual experiment two pilot experiments were conducted. To accomplish our research objectives an experiment is conducted in the BTH university with master students as sample population. Further group interviews were conducted to check if the participants perceive any new metrics that might impact the correctness of the output. The data obtained from the experiment and the interviews is analyzed using linear regression model in SPSS suite. Further to analyze the accuracy vs metric data, linear discriminant model using SPSS pro- gram suite was used. Results.Our literature review resulted in 4 metrics that are suitable to our study. As our test input is HTML we took HTML depth, size, compression size, number of tags as our metrics. Also, from the group interviews another 4 metrics are drawn namely number of lines of code and number of &lt;div&gt;, anchor &lt;a&gt; and paragraph &lt;p&gt; tags as each individual metric. The linear regression model which analyses time vs metric data, shows significant results, but with multicollinearity effecting the result, there was no variance among the considered metrics. So, the results of our study are proposed by adjusting the multicollinearity. Besides, the above analysis, linear discriminant model which analyses accuracy vs metric data was conducted to predict the metrics that influences accuracy. The results of our study show that metrics positively correlate with time and accuracy. Conclusions. From the time vs metric data, when multicollinearity is adjusted by applying step-wise regression reduction technique, the program size, compression size and &lt;div&gt; tag are influencing the time taken by sample population. From accuracy vs metrics data number of &lt;div&gt; tags and number of lines of code are influencing the accuracy of the sample population.