Measuring Method of Worst-case Execution Time by Analyzing Relation between Source Code and Executable Code
Yongjin Seo, Hyeon Soo Kim, Journal of Internet Computing and Services, Vol. 17, No. 4, pp. 51-60, Aug. 2016
10.7472/jksii.2016.17.4.51, Full Text:
Keywords: Worst-case execution time, Cycle table, Source code based execution time measurement
Abstract
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
|
Cite this article
[APA Style]
Seo, Y. & Kim, H. (2016). Measuring Method of Worst-case Execution Time by Analyzing Relation between Source Code and Executable Code. Journal of Internet Computing and Services, 17(4), 51-60. DOI: 10.7472/jksii.2016.17.4.51.
[IEEE Style]
Y. Seo and H. S. Kim, "Measuring Method of Worst-case Execution Time by Analyzing Relation between Source Code and Executable Code," Journal of Internet Computing and Services, vol. 17, no. 4, pp. 51-60, 2016. DOI: 10.7472/jksii.2016.17.4.51.
[ACM Style]
Yongjin Seo and Hyeon Soo Kim. 2016. Measuring Method of Worst-case Execution Time by Analyzing Relation between Source Code and Executable Code. Journal of Internet Computing and Services, 17, 4, (2016), 51-60. DOI: 10.7472/jksii.2016.17.4.51.