Adapt conclusion
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@ -73,10 +73,12 @@ the advantage of being automatic; our frontend model significantly improves a
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backend model's accuracy and our dependencies model significantly improves
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backend model's accuracy and our dependencies model significantly improves
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\uica{}'s results, while being consistent with a dynamic dependencies analysis.
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\uica{}'s results, while being consistent with a dynamic dependencies analysis.
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Evaluating the three models combined as a complete analyzer would have been
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Finally, in the pre-conclusive chapter \nameref{chap:wrapping_up}, we loosely
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most meaningful. However, as we argue in the pre-conclusive chapter
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combine our three pieces of code analyzer model into a very simple full model,
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\nameref{chap:wrapping_up}, this is sadly not pragmatic, as tools do not easily
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returning the maximal prediction from the three major bottleneck analyzers.
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combine without a large amount f engineering.
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While this simplistic model would certainly benefit from a more integrated
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approach, our results already significantly surpass \llvmmca{}, one of the very
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few state-of-the-art tools on ARM processors.
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\bigskip{}
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\bigskip{}
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