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To support developers in writing reliable and efficient concurrent programs, novel concurrent programming abstractions have been proposed in recent years. Programming with such abstractions requires new analysis tools because the execution semantics often differs considerably from established models. The authors present a performance analyzer that is based on new metrics for programs written in SCOOP, an object-oriented programming model for concurrency. They discuss how the metrics can be used to discover performance issues, and they use the tool to optimize a concurrent robotic control software.
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