5 research outputs found
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A Requirements-Led Approach for Specifying QoS-Aware Service Choreographies: An Experience Report.
[Context and motivation] Choreographies are a form of service composition in which partner services interact in a global scenario without a single point of control. The absence of an explicitly specified orchestration requires changes to requirements practices to recognize the need to optimize software services choreography and monitoring for satisfaction with system requirements.
[Question/problem] We developed a requirements-led approach that aims to provide tools and processes to transform requirements expressed on service-based systems to QoS-aware choreography specifications.
[Principal ideas/results] The approach is used by domain experts to specify natural language requirements on a service-based system, and by choreography designers to adapt their models to satisfy requirements more effectively. Non-functional requirements are mapped to BPMN choreography diagrams as quality properties, using the Q4BPMN notation, that support analysis and monitoring facilities. [Contribution] We report the new integrated approach and provide lessons learned from applying it to a real-world example of dynamic taxi management
Unified Theory of Acceptance and Use of Technology (UTAUT) for Market Analysis of FP7 CHOReOS Products
AbstractThe European 7th Framework FP7-ICT-2009-5 project CHOReOS No. 257178 (2010-2013) “Large Scale Choreographies for the Future Internet (IP)” is aimed to elaborate on new methods and tools related to Future Internet ultra-large-scale (ULS) solution development based on the use of choreographies. The purpose of this research is to identify exploitable CHOReOS products and approaches and business market trends that may exploit them. The aim is to collect and assess early market inputs, thereby ensuring that market needs are addressed properly by the CHOReOS project. The market acceptance assessment is done using the Unified Theory of Acceptance and Use of Technology (UTAUT), but the credibility of results is assessed using Cronbach's Alpha, Split-Half Reliability and Spearman–Brown testing methods