This diploma thesis deals with the area of software testing, more precisely with the topic of managing test results. The aim of this work is to find, set up and implement a system that complements the missing functionality of the TMT tool, which is going to replace the Nitrate tool in Red Hat as a test management system. The content of this work is a basic introduction to the tools Nitrate, TMT and other technologies used in Red Hat. Furthermore, the work presents the current state of the test infrastructure and collected user requirements for a new system for managing test results. Subsequently, the ReportPortal tool is introduced as a system for test results management and the missing functionality is defined. The rest of the work is devoted to setting up the system itself and implementing the missing functionality, along with implementing the infrastructure needed to import test results into ReportPortal. The work describes the method of deploying the system in use and feedback from users. The deployed system is evaluated and its further possible improvements are discussed.

This master's thesis proposes and implements an extension of the database interface VTApi which is being developed as a part of the MV ČR project "Tools and methods for video and image processing for terrorism prevention" at FIT VUT. This interface provides support for representation, management and indexation of multimedia data and related descriptive metadata used by analytic applications based on computer vision. It currently uses DBMS PostgreSQL as its default datastore. Paper describes basic techniques for processing image and video data, VTApi concept and proposes and implements its modifications for the purpose of supporting multiple types of datastores. As an example of an alternative datastore, support for usage of a SQLite database is integrated into VTApi.

The object of this diploma thesis is to analyze current status of information system of company Tower. As a result of this analysis will be propsal of new information system based on the requirements of the company.

Based on previous researchers’ criticism of Euro-American bias inherent to universal analogue and digital knowledge organisation systems, this combined qualitative and quantitative postcolonial critical discourse analysis investigates the constructed meanings behind the Library of Congress Subject Headings (LCSH) controlled vocabulary hosted by the Word Digital Library’s (WDL) metadata scheme. This is done with a sample of metadata pertaining to their African cultural heritage collection. The study aims to see if the restricted controlled vocabulary exclude and marginalise situated African knowledge thereby conflicting with their ideological imperative of promoting international understanding. The use of postcolonial theory and discourse analysis theory as both the analytical theoretical framework and methodological approach, reveal that Westerncentric terms from colonial discourse dominate but do not constitute the entirety of the discourses represented by the subject headings. Relying on the assumption that the cataloguers select subject headings based on the rule of literary warrant, the reason for this preference imply an unbalanced collection rather than a biased knowledge organisation system. Therefore, the study suggests the creation of positive rhetorical spaces (Olson, 2002) by adding preferred terms that stem from marginalised situated knowledge systems that too are represented by the existing resources. This will allow for several discourses to co-exist achieving thereby a better fit with the culturally inclusionary aims of the WDL not dependent on the limits of their collection. Also acknowledged is metadata’s pragmatic rationale in support of standardisation for enhanced search and discoverability, but questioned is the sustainability of this principle if the goal is to promote equitable understanding and representation to a wide and international user group. Ultimately, recognising the bias within knowledge organisation systems will serve inclusivity more, rather than traditional claims of universality which conceal exclusion.

Based on previous researchers’ criticism of Euro-American bias inherent to universal analogue and digital knowledge organisation systems, this combined qualitative and quantitative postcolonial critical discourse analysis investigates the constructed meanings behind the Library of Congress Subject Headings (LCSH) controlled vocabulary hosted by the Word Digital Library’s (WDL) metadata scheme. This is done with a sample of metadata pertaining to their African cultural heritage collection. The study aims to see if the restricted controlled vocabulary exclude and marginalise situated African knowledge thereby conflicting with their ideological imperative of promoting international understanding. The use of postcolonial theory and discourse analysis theory as both the analytical theoretical framework and methodological approach, reveal that Westerncentric terms from colonial discourse dominate but do not constitute the entirety of the discourses represented by the subject headings. Relying on the assumption that the cataloguers select subject headings based on the rule of literary warrant, the reason for this preference imply an unbalanced collection rather than a biased knowledge organisation system. Therefore, the study suggests the creation of positive rhetorical spaces (Olson, 2002) by adding preferred terms that stem from marginalised situated knowledge systems that too are represented by the existing resources. This will allow for several discourses to co-exist achieving thereby a better fit with the culturally inclusionary aims of the WDL not dependent on the limits of their collection. Also acknowledged is metadata’s pragmatic rationale in support of standardisation for enhanced search and discoverability, but questioned is the sustainability of this principle if the goal is to promote equitable understanding and representation to a wide and international user group. Ultimately, recognising the bias within knowledge organisation systems will serve inclusivity more, rather than traditional claims of universality which conceal exclusion.

Mobile applications are software that extend the functionality of our smartphones by connecting us with friends and a wide range of other services. Android, which is an operating system based on the Linux kernel, leads the market with over 2.6 million applications recorded on their official store. Application developers, due to the ever-growing innovation in smartphones, are compelled to release new ideas on limited budget and time, resulting in the deployment of malicious applications. Although there exists a security mechanism on the Google Play Store to remove these applications, studies have shown that most of the applications on the app store compromise privacy or pose security-related risks. It is therefore essential to investigate the security risk of installing any of these applications on a device. The objectives are to identify methods and techniques for assessing mobile application security, investigate how attributes indicate the harmfulness of applications, and evaluate the performance of K Nearest Neighbors(K-NN) and Random forest machine learning models in assessing the security risk of installing mobile applications based on information available on the application distribution platform. A literature analysis was done to gather information on the different methods and techniques for assessing security in mobile applications and investigations on how different attributes on the application distribution platform indicate the harmfulness of an application. An experiment was also conducted to examine how various machine learning models perform in evaluating the security risk associated with installing applications, based on information on the application distribution platform. Literature analysis presents the various methods and techniques for mobile application security assessment and identifies how mobile application attributes indicate the harmfulness of mobile applications. The experimental results demonstrate the performance of the aforementioned machine learning models in evaluating the security risk of installing mobile applications. In conclusion, Static, dynamic, and grey-box analysis are the methods used to evaluate mobile application security, and machine learning models including K-NN and Random forest are suitable techniques for evaluating mobile application security risk. Attributes such as the permissions, number of installations, and ratings reveal the likelihood and impact of an underlying security threat. The K-NN and Random forest models when compared to evaluate the security risk of installing mobile applications based on information on the application distribution platform showed high performance with little differences.

Gegenstand dieser Arbeit ist die Entwicklung einer Metadatensystematik zur Ausarbeitung der wesentlichen Einflussgrößen auf das Betriebsverhalten von Verarbeitungsmaschinen und -anlagen. Sie dient als Grundlage, um Erkenntnisse aus verschiedenartigen Prozess- und Betriebsanalysen zu ziehen und somit das Wissen über die vorherrschenden Verarbeitungsvorgänge zu vergrößern. Die Metadaten werden als Einflussgrößen, die im Rahmen einer Betriebsanalyse ergänzend erfasst und verarbeitet werden können, definiert. Zunächst erfolgt die Entwicklung eines ganzheitlichen Modellansatzes zur Erarbeitung der Einflussarten auf das Verhalten eines Maschinensystems. Dieses Modell bildet die Grundlage für die Metadatensystematik. Für die Erstellung der Systematik findet eine Klassifikation und eine Kategorisierung der Metadaten statt. Anschließend wird eine Metadatenerfassungsprioritätszahl eingeführt, welche eine Abschätzung der Erfassungsrelevanz der einzelnen Metadaten ermöglicht. Des Weiteren werden Empfehlungen zur Verarbeitung der Daten gegeben und ein Arbeitsablaufplan zur systematischen Vorbereitung einer Metadatenerfassung vorgestellt. Die Metadatensystematik soll dabei helfen, die Einflussgrößen auf das Betriebsverhalten systematisch zu erfassen, Daten verschiedener Prozessanalysen zu vergleichen und das Verständnis sowie die Interpretation der Kennzahlen eines Maschinensystems zu fördern.:Kurzfassung I Abstract I Symbolverzeichnis IV Abkürzungsverzeichnis VII 1 Einleitung 1 1.1 Motivation 1 1.2 Zielsetzung und Lösungsansatz 2 1.3 Aufbau der Arbeit 2 2 Stand der Wissenschaft und Technik 5 2.1 Einführung der Wissenshierarchieebenen 5 2.1.1 Differenzierung zwischen Zeichen, Daten, Informationen und Wissen 5 2.1.2 Differenzierung zwischen Basiszahlen und Kennzahlen 5 2.1.3 Allgemeine Definition von Metadaten 6 2.2 Grundlagen der Betriebsanalyse 6 2.2.1 Definition des Betriebsverhaltens von Verarbeitungsanlagen 6 2.2.2 Zwecke und Ziele einer Betriebsanalyse 7 2.2.3 Arten von Betriebsanalysen 7 2.2.4 Kennzahlen zur Bewertung des Betriebsverhaltens 8 2.2.5 Vorgehensweise zur Analyse des Betriebsverhaltens 12 2.2.6 Datensysteme eines Unternehmens 13 2.3 Methoden der Systemtheorie 15 2.3.1 Grundlagen der Systemtheorie 15 2.3.2 Definition des Systembegriffs 15 2.3.3 Systemmodelle der Verarbeitungstechnik 16 2.3.4 Technisches System 17 2.3.5 Funktionsstruktur und Funktionsbereiche 18 2.3.6 Innermaschinelles Verfahren 19 2.3.7 Modell der Wirkpaarung 19 2.3.8 Mensch-Technik-Organisation-Modell 19 3 Präzisierte Aufgabenstellung 21 4 Einflussgrößen auf das Betriebsverhalten von Verarbeitungsanlagen 25 4.1 Systemtheoretischer Modellansatz für Betriebsanalysen 25 4.1.1 Problemstellungen bei der Modellbildung 25 4.1.2 Erstellung eines ganzheitlichen Modellansatzes 26 4.1.3 Arten von Einflussgrößen auf das Betriebsverhalten 32 4.2 Möglichkeiten der Datenerfassung 32 4.3 Gegenüberstellung der Einflussarten und der Erfassungsmöglichkeiten 33 5 Metadaten des Betriebsverhaltens 35 5.1 Systematik der Metadaten 35 5.1.1 Bestandteile der Systematik 35 5.1.2 Klassifikation der Metadaten 36 5.1.3 Kategorisierung der Metadaten 37 5.2 Abschätzung der Relevanz der Metadaten 40 5.3 Empfehlungen zur Verarbeitung der Metadaten 43 5.3.1 Empfehlungen zur Erfassung der Metadaten 43 5.3.2 Empfehlungen zur Speicherung der Metadaten 45 5.3.3 Empfehlungen zur Auswertung der Metadaten 45 5.4 Vorgehensmodell zur Metadatenerfassung 47 6 Zusammenfassung und Ausblick 51 Thesen der Arbeit 53 Literaturverzeichnis IX Abbildungsverzeichnis XV Tabellenverzeichnis XVI Anhang XVII

The thesis analyses project HISPRA of The Municipal Library of Prague's Digitalisation Department - development of the project, schedule and funding. Other part of thesis presents Digitalisation Department, assumptions of establishment of the department, development, organization and staff, and hardware and software. Furthermore, there is a presentation of an object of digitization. The most important in this part of thesis is presentation of features of the historical documents about Prague. Furthermore, there is an introduction of document's selection strategy. Thesis also presents the various processes of digitization, including access to The Digital Library Kramerius.

In the cloud based video post-production industry, video files possessing large amounts of metadata is very common. When working with such files, a search interface with functionality that takes advantage of this data, with functions such as filtering, creating specific queries, and searching for the videos content, could greatly increase the ease of use of handling a large amount of files. In this thesis a high fidelity prototype is developed of a search feature on said video assets in a web-based video platform. The prototyping process consisted of iteratively designing prototypes with more and more fidelity, with design choices supported by user testing and expert evaluation. A total of three different design-iterations were made, one of low, medium and high fidelity, as well as a proof of concept for the creation of search tags. Each iteration was based on the result of the testing and evaluation of the previous iteration. The final prototype features a faceted search system of checkboxes and search tags for different video properties, that was well received by user tests and evaluation alike. The faceted search was found to be very efficient and easy to use for this application. The search tags was well understood and showed potential for ”pro functionality” as the interface becomes more complex and more features are added, they were in the current design however, arguably not needed as users preferred to use other parts of the interface. The overall layout of the design was also found to potentially require a redesign, depending of the kind of metadata present in a real world scenario, to fit the faceted search which dynamically change with the availability of metadata on the files. / I den molnbaserade post-production industrin för video, är videofiler med stora mängder metadata väldigt vanligt. När man arbetar med sådana filer kan ett sökgränssnitt med funktionalitet som utnyttjar denna data, med funktioner som filtrering, skapande av specifika sökfrågor och sökande efter videons innehåll, avsevärt öka användarvänligheten för att hantera en stor mängd filer. I denna uppsats utvecklas en high-fidelity prototyp för en sökfunktion på video filer i en webbaserad videoplattform. Prototypprocessen bestod av att iterativt designa prototyper med högre och högre fidelity, med designval som stöttades av användartestning och expertutvärdering. Totalt gjordes tre olika design- iterationer, en med låg, medelhög och hög fidelity, samt ett proof of concept för skapandet av söktaggar. Varje iteration baserades på resultatet av testningen och utvärderingen av den tidigare iterationen. Den slutgiltiga prototypen har ett facetterat söksystem med kryssrutor och söktaggar för olika videoegenskaper, som togs emot väl av både användartester och utvärdering. Den facetterade sökningen visade sig vara mycket effektiv och lätt att använda för den här tillämpningen. Söktaggarna var väl förstådda och visade potential för ”pro- funktionalitet” då gränssnittet blir mer komplext och fler funktioner lades till, dock i den nuvarande designen, kan de anses oanvändbara eftersom användare föredrog att använda andra delar av gränssnittet istället. Designensövergripande layout visade sig också potentiellt kräva en omdesign, beroende på vilken typ av metadata som finns i ett verkligt scenario, för att få plats med hela facetterade sökningen som dynamiskt ändrar sig med tillgängligheten av meta-data på filerna.

This thesis describes OLAP and data mining technologies and methods of their communication with users by using dynamic tables. Key theoretical and technical information is also included. Next part focuses on particular implementation of dynamic tables used in Vema portal solution. Last parts come close to analysis and implementation of the metadata editor which enables the metadata to be effectively designed.