Context-sensitive measurement-based worst-case execution time estimation

The goal of measurement-based WCET estimation (MBWE) is to derive an estimate of the worst-case execution time (WCET) of a given piece of software on a particular target platform by executing the software on the target hardware and analyzing the obtained time-stamped execution traces. In this paper we introduce context-sensitive MBWE, an approach that can reduce pessimism by making use of state information that is exposed through individual control-flow decisions. We show how to extend the popular IPET method, to obtain tighter WCET estimates. We provide confirmative empirical results that demonstrate the effectiveness of our approach.Final Accepted Versio

The WCET Tool Challenge 2011

Following the successful WCET Tool Challenges in 2006 and 2008, the third event in this series was organized in 2011, again with support from the ARTIST DESIGN Network of Excellence. Following the practice established in the previous Challenges, the WCET Tool Challenge 2011 (WCC'11) defined two kinds of problems to be solved by the Challenge participants with their tools, WCET problems, which ask for bounds on the execution time, and flow-analysis problems, which ask for bounds on the number of times certain parts of the code can be executed. The benchmarks to be used in WCC'11 were debie1, PapaBench, and an industrial-strength application from the automotive domain provided by Daimler AG. Two default execution platforms were suggested to the participants, the ARM7 as "simple target'' and the MPC5553/5554 as a "complex target,'' but participants were free to use other platforms as well. Ten tools participated in WCC'11: aiT, Astr\'ee, Bound-T, FORTAS, METAMOC, OTAWA, SWEET, TimeWeaver, TuBound and WCA