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In this paper we are examining the impact of modern programming language abstractions on total cost of ownership (TCO) of a financial computing operation. Our analysis is based on static and dynamic analysis of example financial software, based on our loopflow graph (LFG) concept and our custom dynamic hotspot tool called MaxSpot. Our results show that, if the required throughput of an application is high enough, then operational expenditure is minimized by minimizing runtime and not programming effort.

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