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Producing wrong data without doing anything obviously wrong!In ASPLOS '09: Proceeding of the 14th international conference on Architectural support for programming languages and operating systems (2009), pp. 265-276.
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AbstractThis paper presents a surprising result: changing a seemingly innocuous aspect of an experimental setup can cause a systems researcher to draw wrong conclusions from an experiment. What appears to be an innocuous aspect in the experimental setup may in fact introduce a significant bias in an evaluation. This phenomenon is called measurement bias in the natural and social sciences.
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