DBIS

In our efforts to support heterogeneous communities with the tools and structures they need, we developed our flagship peer-to-peer community platform las2peer. It features an elaborate service and community success measurement toolkit called MobSOS. This framework consists of several components, all conceptually united under a so-called service success model. MobSOS Data Processing is responsible for managing incoming monitoring data of a las2peer network. The MobSOS Success Modeling provides the functionality of parsing a given service success model and provides visualization functionality of the monitoring data, categorized according to this model. Therefore, it uses the functionality of the MobSOS Query Visualization. MobSOS Surveys aims at catching qualitative feedback from service users that could otherwise not be obtained with monitoring alone.

While previous evaluations have shown the increased value of services instrumented with MobSOS, the integration of end users into service success measurement could take the concept one step further. This is supported by the idea of services being created and maintained by communities, instead of only by developers. Therefore, a strong conceptual bound between service development and success measurement is needed. Methodologies supporting las2peer’s DevOpsUse cycle, in particular the Requirements Bazaar and the Community Application Editor, can be exploited to integrate service success evaluation already in the early stages of service creation.

The goal of this thesis is the integration of community service success evaluation into las2peer’s whole development process. The developed prototype should unify the MobSOS toolkit (success model creation and visualization, questionnaire creation and participation in it) in one responsive Web application. Additionally, it should be integrated within las2peer’s ecosystem for requirement analysis and collaborative model-driven development.