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Abstract. This paper seeks to address the decision making problem in software development outsourcing scenarios in which a project manager is in charge of deciding about which software components will be outsourced and which ones will be developed internally. Therefore we propose a methodology and tool support which leverage the classification of a project's software components by means of a graph-based model of the components' requirements and their corresponding clustering. In the course of our design oriented research approach, a prototypical implementation of the methodology has been developed and evaluated. It illustrates the practical applicability of the proposed method. We thereby contribute to the location selection problem in distributed software projects and give guidance for in-house or external software production. The theoretical contribution consists of revealing an improved processing methodology for assessing software requirements and increasing the outsourcing success of a software project. Our contribution for practice is an implemented prototype for project leads of distributed teams.

Over the last few years mobile technology has gained enormous growth in the field of human-computer interaction as it became an essential part of our society's everyday life. Specific mobile characteristics such as availability, computational power, or high-resolution displays make these devices very useful, even in a business environment. However, usability plays a crucial role when it comes to software design for human-computer interaction with mobile devices. In order to achieve a high level of usability in user interfaces of application software, it is essential to ensure usability quality during the development process. Therefore, we have developed a specific questionnaire for evaluating the usability of mobile business apps as well as a corresponding web-based software tool for simplifying the assessment. In this paper, we follow a design science research approach and evaluate our designed artifacts in expert interviews where we demonstrate the utility and applicability of the questionnaire and tool.

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