Simulative and analytical evaluation for ASD-based embedded software
conference paper
The Analytical Software Design (ASD) method of the company Verum has been designed to reduce the number of errors in embedded software. However, it does not take performance issues into account, which can also have a major impact on the duration of software development. This paper presents a discrete-event simulator for the performance evaluation of ASD-structured software as well as a compositional numerical analysis method using fixed-point iteration and phase-type distribution fitting. Whereas the numerical analysis is highly accurate for non-interfering tasks, its accuracy degrades when tasks run in opposite directions through interdependent software blocks and the utilization increases. A thorough validation identifies the underlying problems when analyzing the performance of embedded software.
Topics
Analytical evaluationAnalytical software designsDiscrete-event simulatorsFixed-point iterationsPerformance evaluationPerformance issuesPhase type distributionsFault toleranceFault tolerant computer systemsMeasurement errorsNumerical analysisSoftware designEmbedded softwareService timeArrival rateWait time distributionQueueing network
TNO Identifier
954383
ISSN
03029743
ISBN
9783642285394
Publisher
Springer
Source title
16th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB and DFT 2012, 19 March 2012 through 21 March 2012
Pages
166-181
Files
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