NDLI: A Safe Measurement-Based Worst-Case Execution Time Estimation Using Automatic Test-Data Generation

Content Provider	IEEE Xplore Digital Library
Author	Liangliang Kong Jianhui Jiang
Copyright Year	2010
Abstract	This paper proposes a new safe measurement-based estimation method for Worst-Case Execution Time (WCET) of programs in real-time systems. The latest progress in Pattern Recognition of learning to detect unseen object classes by between-class attribute transfer has been used for automatic test-data generation in our method. Based on control flow graph partition, execution profiles of each basic block and probabilities of their executions can be extracted during program executions driven by test data. Afterwards, a critical path can be identified by calculating its execution probability among all feasible paths. With measurement for critical paths, WCET can be obtained by adding static analysis of hardware features to measurement results. The objective of this paper is not to present finished or almost finished work. Instead we hope to trigger discussion and solicit feedback from the community in order to avoid pitfalls experienced by others and to help focus our research.
Starting Page	245
Ending Page	246
File Size	222563
Page Count	2
File Format	PDF
ISBN	9781424489756
DOI	10.1109/PRDC.2010.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-13
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time measurement Training Estimation Conferences Real time systems Pipelines Hardware performance estimation worst-case execution time real-time measurement test-data generation
Content Type	Text
Resource Type	Article

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