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Summary. In today's changing business environment, flexible Processaware Information Systems (PAISs) are required to allow companies to rapidly adjust their business processes to changes in the environment. However, increasing flexibility poses additional challenges to the users of flexible PAISs and thus requires intelligent user assistance. To address this challenge we have previously proposed a recommendation service for supporting users during process execution by providing recommendations on possible next steps. Recommendations are generated based on similar past process executions considering the performance goal of the supported process. This paper follows up on this work and suggests additional strategies for generating recommendations. In addition, as major contribution of this paper, we investigate how effectively the recommendation strategies work for different processes and logs of different quality.

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Abstract. In industry, testing has to be performed under severe pressure due to limited resources. Risk-based testing which uses risks to guide the test process is applied to allocate resources and to reduce product risks. Risk assessment, i.e., risk identification, analysis and evaluation, determines the significance of the risk values assigned to tests and therefore the quality of the overall risk-based test process. In this paper we provide a risk assessment model and its integration into an established test process. This framework is derived on the basis of best practices extracted from published risk-based testing approaches and applied to an industrial test process.

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