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Using semantic data from general-purpose programming languages does not provide the unified experience one would want for such an application. Static error checking is lacking, especially with regards to static typing of the data. Based on the previous work of λ-DL, which integrates semantic queries and concepts as types into a typed λ-calculus, this work takes its ideas a step further to meld them into a real-world programming language. This thesis explores how λ-DL's features can be extended and integrated into an existing language, researches an appropriate extension mechanism and produces Semantics4J, a JastAdd-based Java language semantic data extension for type-safe OWL programming, together with examples of its usage.
Motion capture refers to the process of capturing, processing and trans- lating real motions onto a 3D model. Not only in the movie and gaming industries, motion capture creates an indispensable realism of human and animal movement. Also in the context of robotics, medical movement therapy, as well as in AR and VR, motion capture is used extensively. In addition to the well established optical processes, especially in the last three areas, alternative systems based on inertial navigation (IMUs) are being used in-creasingly, because they do not rely on external cameras and thus limit the area of movement considerably less.
Fast evolving technical progress in the manufacturing of such IMUs allows building small sensors, wearable on the body which can transfer movements to a computer. The development of applying inertial systems to a motion capture context, however, is still at an early state. Problems like drift can currently only be minimized by adding additional hardware for correcting the read data.
In the following master thesis an IMU based motion capture system is designed and constructed. This contains the assembly of the hardware components as well as processing of the received movement data on the software side and their application to a 3D model.
Geographic cluster based routing in ad-hoc wireless sensor networks is a current field of research. Various algorithms to route in wireless ad-hoc networks based on position information already exist. Among them algorithms that use the traditional beaconing approach as well as algorithms that work beaconless (no information about the environment is required besides the own position and the destination). Geographic cluster based routing with guaranteed message delivery can be carried out on overlay graphs as well. Until now the required planar overlay graphs are not being constructed reactively.
This thesis proposes a reactive algorithm, the Beaconless Cluster Based Planarization (BCBP) algorithm, which constructs a planar overlay graph and noticeably reduces the number of messages required for that. Based on an algorithm for cluster based planarization it beaconlessly constructs a planar overlay graph in an unit disk graph (UDG). An UDG is a model for a wireless network in which every participant has the same sending radius. Evaluation of the algorithm shows it to be more efficient than the non beaconless variant. Another result of this thesis is the Beaconless LLRAP (BLLRAP) algorithm, for which planarity but not continued connectivity could be proven.
This thesis proposes the use of MSR (Mining Software Repositories) techniques to identify software developers with exclusive expertise about specific APIs and programming domains in software repositories. A pilot Tool for finding such
“Islands of Knowledge” in Node.js projects is presented and applied in a case study to the 180 most popular npm packages. It is found that on average each package has 2.3 Islands of Knowledge, which is possibly explained by the finding that npm packages tend to have only one main contributor. In a survey, the maintainers of 50 packages are contacted and asked for opinions on the results produced by the Tool. Together with their responses, this thesis reports on experiences made with the pilot Tool and how future iterations could produce even more accurate statements about programming expertise distribution in developer teams.
The publication of open source software aims to support the reuse, the distribution and the general utilization of software. This can only be enabled by the correct usage of open source software licenses. Therefore associations provide a multitude of open source software licenses with different features, of which a developer can choose, to regulate the interaction with his software. Those licenses are the core theme of this thesis.
After an extensive literature research, two general research questions are elaborated in detail. First, a license usage analysis of licenses in the open source sector is applied, to identify current trends and statistics. This includes questions concerning the distribution of licenses, the consistency in their usage, their association over a period of time and their publication.
Afterwards the recommendation of licenses for specific projects is investigated. Therefore, a recommendation logic is presented, which includes several influences on a suitable license choice, to generate an at most applicable recommendation. Besides the exact features of a license of which a user can choose, different methods of ranking the recommendation results are proposed. This is based on the examination of the current situation of open source licensing and license suggestion. Finally, the logic is evaluated on the exemplary use-case of the 101companies project.
One task of executives and project managers in IT companies or departments is to hire suitable developers and to assign them to suitable problems. In this paper, we propose a new technique that directly leverages previous work experience of developers in a systematic manner. Existing evidence for developer expertise based on the version history of existing projects is analyzed. More specifically, we analyze the commits to a repository in terms of affected API usage. On these grounds, we associate APIs with developers and thus we assess API experience of developers. In transitive closure, we also assess programming domain experience.
Cicero ist eine asynchrone Diskussionsplattform, die im Rahmen der Arbeitsgruppe Informationssysteme und Semantic Web (ISWeb) der Universität Koblenz-Landau entwickelt wurde. Die webbasierte Anwendung folgt dem Gedanken eines semantischen Wikis und soll insbesondere beim Arbeitsablauf von Entwurfsprozessen eingesetzt werden. Dabei verwendet Cicero ein restriktives Argumentationsmodell, das einerseits strukturierte Diskussionen von schwierigen Prozessen fördert und andererseits den Entscheidungsfindungsprozess unterstützt. Im Zentrum der Arbeit steht die Evaluation von Cicero, wobei im vorhergehenden theoretischen Teil die Hintergründe und Funktionsweisen vorgestellt werden und im nachfolgenden praktischen Teil die Anwendung anhand einer Fallstudie evaluiert wird. Die Studie wurde im Rahmen der Übungsveranstaltung zu Grundlagen der Datenbanken der Universität Koblenz im Wintersemester 2008/2009 durchgeführt , und die Studenten hatten die Aufgabe, einen Entwurfsprozess mit Hilfe von Cicero zu diskutieren. Über die erhobenen Daten der Fallstudie wird ein Akzeptanztest durchgeführt. Hierbei wird überprüft, ob die Benutzer Cicero positiv annehmen und die Methodik richtig anwenden. Denn aufgrund des vorgegebenen Argumentationsmodells müssen die Benutzer ihr Kommunikationsverhalten ändern und ihren herkömmlichen Diskussionsstil der Anwendung anpassen. Ziel der Evaluation ist es, kritische Erfolgsfaktoren im Umgang mit Cicero ausfindig zu machen. Anhand der identifizierten Schwachstellen werden abschließend gezielte Maßnahmen vorgeschlagen, die die Akzeptanz der Benutzer gegenüber Cicero erhöhen könnten.
Problems in the analysis of requirements often lead to failures when developing software systems. This problem is nowadays being faced by requirements engineering. The early involvement of all kinds of stakeholders in the development of such a system and a structured process to elicitate and analyse requirements have made it a crucial factor as a first step in software development. The increasing complexity of modern softwaresystems though leads to a rising amount of information which has to be dealt with during analysis. Without the support of appropriate tools this would be almost impossible to do. Especially in bigger projects, which tend to be spatially distributed, an effective requirements engineering could not be implemented without this kind of support. Today there is a wide range of tools dealing with this matter. They have been in use since some time now and, in their most recent versions, realize the most important aspects of requirements engineering. Within the scope of this thesis some of these tools will be analysed, focussing on both the major functionalities concerning the management of requirements and the repository of these tools. The results of this analyis will be integrated into a reference model.
Modern software projects are composed of several software languages, software technologies and different kind of artifacts. Therefore, the understanding of the software project at hand, including the semantic links between the different parts, becomes a difficult challenge for a developer. One approach to attack this issue is to document the software project with the help of a linguistic architecture. This kind of architecture can be described with the help of the MegaL ontology. A remaining challenge is the creation of it since it requires different kind of skills. Therefore, this paper proposes an approach for the automatic extraction of a linguistic architecture. The open source framework Apache Jena, which is focusing on semantic web technologies like RDF and OWL, is used to define custom rules that are capable to infer new knowledge based on the defined or already extracted RDF triples. The complete approach is tested in a case study on ten different open source projects. The aim of the case study is to extract a linguistic architecture that is describing the use of Hibernate in the selected projects. In the end, the result is evaluated with the help of different metrics. The evaluation is performed with the help of an internal and external approach.