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Web-programming is a huge field of different technologies and concepts. Each technology implements a web-application requirement like content generation or client-server communication. Different technologies within one application are organized by concepts, for example architectural patterns. The thesis describes an approach for creating a taxonomy about these web-programming components using the free encyclopaedia Wikipedia. Our 101companies project uses implementations to identify and classify the different technology sets and concepts behind a web-application framework. These classifications can be used to create taxonomies and ontologies within the project. The thesis also describes, how we priorize useful web-application frameworks with the help of Wikipedia. Finally, the created implementations concerning web-programming are documented.
The automatic detection of position and orientation of subsea cables and pipelines in camera images enables underwater vehicles to make autonomous inspections. Plants like algae growing on top and nearby cables and pipelines however complicate their visual detection: the determination of the position via border detection followed by line extraction often fails. Probabilistic approaches are here superior to deterministic approaches. Through modeling probabilities it is possible to make assumptions on the state of the system even if the number of extracted features is small. This work introduces a new tracking system for cable/pipeline following in image sequences which is based on particle filters. Extensive experiments on realistic underwater videos show robustness and performance of this approach and demonstrate advantages over previous works.
This thesis evaluates automated techniques to remove objects from an image and proposed several modifications for the specific application of removing a colour checker from structure dominated images. The selection of approaches covers the main research field of image inpainting as well as an approach used in medical image processing. Their results are investigated to disclose their applicability to removing objects from structure-intense images. The advantages and disadvantages discovered in the process are then used to propose several modifications for an adapted inpainting approach suitable for removing the colour checker.
In Silico simulation of biological systems is an important sub area of computational biology (system biology), and becomes more and more an inherent part for research. Therefore, different kinds of software tools are required. At present, a multitude of tools for several areas exists, but the problem is that most of the tools are essentially application specific and cannot be combined. For instance, a software tool for the simulation of biochemical processes is not able to interact with tools for the morphology simulation and vice versa. In order to obtain realistic results with computer-aided simulations it is important to regard the biological system in its entirety. The objective is to develop a software framework, which provides an interface structure to combine existing simulation tools, and to offer an interaction between all affiliated systems. Consequently, it is possible to re-use existing models and simulation programs. Additionally, dependencies between those can be defined. The system is designed to interoperate as an extendable architecture for various tools. The thesis shows the usability and applicability of the software and discusses potential improvements.
This thesis presents an analysis of API usage in a large corpus of Java software retrieved from the open source repositories hosted at SourceForge. Most larger software projects use software libraries, which offer a public "application programming interface" or API as an interface for the programmer. In order to facilitate the transition between different APIs, there are emerging research projects in the field of automated API migration. However, there is a lack of basic statistical background information about in-the-wild usage of APIs as such measurements have, until now, only been done on rather small corpora. We thus present an analysis method suitable for measurements with large corpora. First, we create a corpus of open source projects hosted on SourceForge, as well as a corpus of software libraries. Then, all projects in the corpus are compiled with an instrumented compiler. We use a compiler plugin for javac that gives detailed information about every method created by the compiler. This information is stored in a database and analyzed.
In this diploma thesis a skeleton-based matching technique for 2D shapes is introduced. First, current approaches for the matching of shapes will be presented. The basics of skeleton-based matchings will be introduced. In the context of this thesis, a skeleton-based matching approach was implemented as presented in the original paper. This implementation is evaluated by performing a similarity search in three shape databases. Strengths and limitations of the approach are pointed out. In addition, the introduced algorithm will be examined with respect to extending it towards matching of 3D objects. In particular, the approach is applied to medical data sets: Pre- and postoperative CT images of the abdominal aorta of one patient will be compared. Problems and approaches for matching of 3D objects in general and blood vessels in particular will be presented.
In recent years ontologies have become common on the WWW to provide high-level descriptions of specific domains. These descriptions could be effectively used to build applications with the ability to find implicit consequences of their represented knowledge. The W3C developed the Resource Description Framework RDF, a language to describe the semantics of the data on the web, and the Ontology Web Language OWL, a family of knowledge representation languages for authoring ontologies. In this thesis we propose an ontology API engineering framework that makes use of the state-of-the-art ontology modeling technologies as well as of software engineering technologies. This system simplifies the design and implementation process of developing dedicated APIs for ontologies. Developers of semantic web applications usually face the problem of mapping entities or complex relations described in the ontology to object-oriented representations. Mapping complex relationship structures that come with complex ontologies to a useful API requires more complicated API representations than does the mere mapping of concepts to classes. The implementation of correct object persistence functions in such class representations also becomes quite complex.
MapReduce with Deltas
(2011)
The MapReduce programming model is extended slightly in order to use deltas. Because many MapReduce jobs are being re-executed over slightly changing input, processing only those changes promises significant improvements. Reduced execution time allows for more frequent execution of tasks, yielding more up-to-date results in practical applications. In the context of compound MapReduce jobs, benefits even add up over the individual jobs, as each job gains from processing less input data. The individual steps necessary in working with deltas are being analyzed and examined for efficiency. Several use cases have been implemented and tested on top of Hadoop. The correctness of the extended programming model relies on a simple correctness criterion.
The thesis at hand evaluates Open Source Business Process Management (BPM) Systems in the context of the R4eGov1 Project. The provision of concepts and tools to support and enable interoperability in pan-European networks of pubic administrations is one of the major objectives that R4eGov is aiming at. Thereby a strong focus lies on the interoperability of cross-organizational processes from the viewpoint of modeling, execution and monitoring. BPM can increase the effectiveness and efficiency of cross-organizational processes by restructuring them towards the needs of the entities involved. BPM is dependent on BPM systems that combine technologies of process modeling, business process analysis and execution along with their integration into adequate runtime environments and rule engines. The evaluation that is performed within the thesis investigates how far BPM systems can support several requirements of interoperability that have been developed by the R4eGov project. It also targets at analyzing those BPM system according to generic requirements on BPM and software tools. The investigation is build upon common BPM theories and standards for modeling business processes. It describes the origin and interdependencies of BPM and Workflow Management (WfM), highlighting similarities and differences from the technological and historical perspective. Moreover, it introduces web service standards and technologies that are used to build service-oriented architectures allowing greater flexibility in BPM. In addition the thesis introduces methods and best practices to evaluate software tools. It contains an evaluation framework for BPM tools that has been based on the software product evaluation standard ISO/IEC 14598. The evaluation framework comprises the definition of an R4eGov scenario and a catalogue of criteria for evaluating a set of selected Open Source BPM systems. The definition of the catalogue of criteria is build upon generic requirements on BPM systems and those that are specifically to R4eGov. The chosen methods and the core elements of the evaluation framework will be applied to the selected BPM systems Intalio BPMS,NetBeans IDE, and JBoss jBPM. Finally the results of the applied R4eGov scenario and of the applied catalogue of criteria are being discussed by highlighting individual strengths and weaknesses of the systems.
Software projects typically rely on several, external libraries. The interface provided by such a library is called API (application programming interface). APIs often evolve over time, thereby implying the need to adapt applications that use them. There are also reasons which may call for the replacement of one library by another one, what also results in a need to adapt the applications where the library is replaced. The process of adapting applications to use a different API is called API migration. Doing API migration manually is a cumbersome task. Automated API migration is an active research field. A related field of research is API analysis which can also provide data for developing API migration tools.
The following thesis investigates techniques and technologies for API analysis and API migration frameworks. To this end, design patterns are leveraged. These patterns are based on experience with API analysis and migration within the Software Languages Team.