Contributions in Merlin

Chatkommunikation ist inzwischen weit verbreitet im privaten Umfeld und wird zunehmend populär auch im geschäftlichen Bereich. Audiokommunikation bietet dank VoIP neue Möglichkeiten der Gruppenkommunikation. Doch die Auswirkung der Medienwahl zwischen beiden Medien ist weitgehend unbekannt. Auch die Effekte der Gruppenkommunikation über diese Medien sind ungeklärt. Ausgehend von den etablierten Theorien stellt dieser Text die Ergebnisse eines Experiments zur Untersuchung von Produktivität und Zufriedenheit vor. In diesem mussten mit Audio und Chat und unterschiedlichen Gruppengrößen kritische Hinweise ausgetauscht werden, um einen Mordfall zu lösen. Aufgrund der Resultate wird ein Brückenschlag zwischen den Theorien vorgenommen und neue Faktoren für die Produktivität identifiziert.

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Abstract. Handshaking between product management and R&D is key to the success of product development projects. Traditional requirements engineering processes build on good quality requirements pecifications, which typically are not achievable in practical circumstances, especially not in distributed development where daily communication cannot easily be achieved to support the understanding of the specification and tacit knowledge cannot easily be spread. Projects thus risk misunderstanding requirements and are likely to deliver inadequate solutions. This paper presents an approach that uses downstream engineering artifacts, design decisions, to improve upstream information, a project’s requirements. During its preliminary validation, the approach yielded promising results. It is well suited for distributed software projects, where the negotiation on requirements and solution design need to be made explicit and potential problems and misunderstandings caught at early stages.

Modeling variability is a core problem in software product line engineering. The relationship between variability and commonality in a software product line bears strong similarities to the relationship between crosscutting concerns and core concerns in aspect-oriented modeling. So modeling variability with aspect-oriented techniques is an obvious idea which has been exploited before to some extent. In this paper, we propose a new approach to modeling and visualizing variability by a combination of aspect-oriented variability modeling with table-based modeling of configuration possibilities and constraints. As a modeling language, we use a slightly extended version of the ADORA language. Our main contributions are a visual, integrated model comprising both the commonality and the variability of the product line and a novel mechanism for synthesizing products from this model based on the aspect weaving capabilities of ADORA.

To accomplish the daily work people use several desktop applications to collaborate with co-workers. Each application is specialized on a speci?c domain, such as document management, email, or time planning. Although the data is distributed over several applications the data is highly interlinked from the user’s point of view. The Social Semantic Desktop aims to take advantage of Semantic Web technologies on the computer’s desktop to better support the user’s mental working model and to enable collaboration over enterprise boundaries. In this paper we present our ongoing work on the Social Semantic Desktop as collaboration environment. We present the intended usage scenarios, discuss the required services and give an outlook on the architecture we envision for the Social Semantic Desktop.

This paper introduces the NEPOMUK pro ject which aims to create a standard and reference implementation for the Social Semantic Desktop. We outline the requirements and functionalities that were identi?ed for a useful Semantic Desktop system and present an architecture that ful?lls these requirements which was acquired by incremental re?nement of the architecture of existing Semantic Desktop prototypes. The NEPOMUK pro ject is primarily motivated by three real-life industrial use-cases, we brie?y outline these and the processes used to extract required functionalities from the people working in these areas today, and we present a selection of typical tasks where the Semantic Desktop could be of bene?t.