Third IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems (SEUS'05)
DOI: 10.1109/seus.2005.12
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Measurement-Based Worst-Case Execution Time Analysis

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Cited by 45 publications
(23 citation statements)
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“…To approach a full subpath coverage within each program segment, a formal test-data generation method based on model checking is used [WRKP05a,WRKP05b]. However, to compensate the high computation cost of formal test-data generation, a three-step approach is used:…”
Section: Employed Methodsmentioning
confidence: 99%
“…To approach a full subpath coverage within each program segment, a formal test-data generation method based on model checking is used [WRKP05a,WRKP05b]. However, to compensate the high computation cost of formal test-data generation, a three-step approach is used:…”
Section: Employed Methodsmentioning
confidence: 99%
“…MTime is a research prototype from the Real-Time Systems Group at Vienna University of Technology (TUVienna) [42] and [41]. MTime supports the processor Motorola HCS12 [15] with the COSMIC compiler [8].…”
Section: Mtimementioning
confidence: 99%
“…Symbolic execution requires a high implementation effort and therefore does not meet the requirements. Model checking was used within the MoDECs project [8] to generate test data and identify infeasible paths where it proved to be an efficient replacement for a custom symbolic execution engine. Since the CBMC model checker provides good performance and an ANSI-C interface a method has been developed to calculate loop bounds using CBMC.…”
Section: The Model Checking Approachmentioning
confidence: 99%
“…During the MoDECs project [8] we examined medium to large industrial embedded applications using the CBMC model checker and did not encounter any problems like exorbitant memory usage or execution times related to the code size of the applications. Therefore it can be assumed that the proposed approach will work for applications of the same size as well, even if they contain loops.…”
Section: Figure 1 Resource Consumption Over Iterationsmentioning
confidence: 99%