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IEEE/ICACT20260382 Slide.17        [Big Slide]	Oral Presentation
	Moving on to the computational costs, lets look at how path feasibility impacts our Juliet test suite benchmarks. In terms of speed, we see a 10% time overhead. The memory overhead is roughly 80%. While that might sound high at first glance, its important to remember that these percentages are relative to the Memory Leak Hunter performance. For this specific test suite, 80% is actually well within an acceptable range. Furthermore, the process is highly scalable. If MLH identifies multiple issues, we can run the path feasibility analysis for each one in parallel.

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