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The community of program optimisation and analysis, code performanceevaluation, parallelisation and optimising compilation has published since manydecades hundreds of research and engineering articles in major conferences andjournals. These articles study efficient algorithms, strategies and techniquesto accelerate programs execution times, or optimise other performance metrics(MIPS, code size, energy/power, MFLOPS, etc.). Many speedups are published, butnobody is able to reproduce them exactly. The non-reproducibility of ourresearch results is a dark point of the art, and we cannot be qualified as {\itcomputer scientists} if we do not provide rigorous experimental methodology.This article provides a first effort towards a correct statistical protocol foranalysing and measuring speedups. As we will see, some common mistakes are doneby the community inside published articles, explaining part of thenon-reproducibility of the results. Our current article is not sufficient byits own to deliver a complete experimental methodology, further efforts must bedone by the community to decide about a common protocol for our futureexperiences. Anyway, our community should take care about the aspect ofreproducibility of the results in the future.

Towards a Statistical Methodology to Evaluate Program Speedups and their Optimisation Techniques