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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.
Interactive video retrieval
(2006)
The goal of this thesis is to develop a video retrieval system that supports relevance feedback. One research approach of the thesis is to find out if a combination of implicit and explicit relevance feedback returns better retrieval results than a system using explicit feedback only. Another approach is to identify a model to weight existing feature categories. For this purpose, a state-of-the-art analysis is presented and two systems implemented, which run under the conditions of the international TRECVID workshop. It will be a basis system for further research approaches in the field of interactive video retrieval. Amongst others, it shall participate in the 2006 search task of the mentioned workshop.
The high cost of routing infrastructure makes checking theories about larger nets a very difficult and expensive task. One possible approach to fight this problem is the use of virtual instead of physical infrastructure. OPNet- IT Guru software is a suite designed to simulate large nets and present relevant information. This allows validating extensive changes before actually implementing them on a productive network or testing theories without the overhead of a physical infrastructure.
Viele Probleme in der Aussagenlogik sind nur sehr aufwändig lösbar. Ist beispielsweise eine Wissensbasis gegeben, an die wir Anfragen stellen, wollen, so kann dies mitunter sehr mühsam sein. Um trotzdem effizient Anfragen beantworten zu können, hat sich die Vorgehensweise der Wissenskompilation entwickelt. Dabei wird die Lösung der Aufgabe in eine Offline- und eine Online-Phase aufgeteilt. In der Offline-Phase wird die Wissensbasis präkompiliert. Dabei wird sie in eine bestimmte Form umgewandelt, auf der sich die erwarteten Anfragen effizient beantworten lassen. Diese Transformation der Wissensbasis ist meist sehr aufwändig, muss jedoch nur einmalig durchgeführt werden. In der darauffolgenden Online-Phase können nun effizient Anfragen beantwortet werden. In dieser Diplomarbeit wird eine spezielle Normalform, die sich als Zielsprache der Präkompilation anbietet, untersucht. Außerdem wird die Präkompilation so in einzelne Schritte unterteilt, dass möglicherweise bereits nach einigen Teilschritten Anfragen beantwortet werden können.