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A New Way about using Statistical Analysis of Worst-Case Execution Times


Yue Lu, Thomas Nolte, Iain Bate, Liliana Cucu-Grosjean

Publication Type:

Journal article







In this paper, we revisit the problem of using Extreme Value Theory (EVT) in the Worst-Case Execution Time (WCET) analysis of the programs running on a single processor. Our proposed statistical WCET analysis method consists of a novel sampling mechanism tackling with some problems that hindered the application of using EVT in the context, and a statistical inference about computation of a WCET estimate of the target program. To be specific, the presented sampling mechanism takes analysis samples from the target program based around end-to-end measurements. Next, the statistical inference using EVT together with other statistical techniques, analyzes such timing traces which contain the execution time data of the program, to compute a WCET estimate with a certain predictable probability of being exceeded.


author = {Yue Lu and Thomas Nolte and Iain Bate and Liliana Cucu-Grosjean},
title = {A New Way about using Statistical Analysis of Worst-Case Execution Times},
volume = {8},
number = {2},
month = {September},
year = {2011},
journal = {ACM SIGBED Review},
publisher = {ACM},
url = {}