Architecture of a tool for automated testing the worst-case execution time of real-time embedded systems' firmware

2017 ◽  
Author(s):  
Dmytro Fedasyuk ◽  
Ratybor Chopey ◽  
Bohdan Knysh
Keyword(s):  
Embedded Systems ◽  
Real Time ◽  
Execution Time ◽  
Automated Testing ◽  
Worst Case ◽  
Worst Case Execution Time

An Overview of Worst-Case Execution Time Estimation for Embedded Programs

2014 ◽  
Vol 651-653 ◽  
pp. 624-629
Author(s):  
Liang Liang Kong ◽  
Lin Xiang Shi ◽  
Lin Chen
Keyword(s):  
Embedded Systems ◽  
Real Time ◽  
Execution Time ◽  
Time Estimation ◽  
Worst Case ◽  
Performance Metric ◽  
Worst Case Execution Time ◽  
Hard Real Time ◽  
Time Systems

Most embedded systems are real-time systems, so real-time is an important performance metric for embedded systems. The worst-case execution time (WCET) estimation for embedded programs could satisfy the requirement of hard real-time evaluation, so it is widely used in embedded systems evaluation. Based on sufficient survey on the progress of WCET estimation around the world, it proposes a new classification of WCET estimation. After introducing the principle of WCET estimation, it mainly demonstrates various types of technologies to estimate WCET and classifies them into two main streams, namely, static and dynamic WCET estimations. Finally, it shows the development of WCET analysis tools.

Use of Measurements in Worst-Case Execution Time Estimation for Real-Time Systems

2021 ◽  
Author(s):  
Jessica Junia Santillo Costa ◽  
Romulo Silva de Oliveira ◽  
Luis Fernando Arcaro
Keyword(s):  
Real Time ◽  
Execution Time ◽  
Time Estimation ◽  
Real Time Systems ◽  
Worst Case ◽  
Worst Case Execution Time ◽  
Time Systems

scholarly journals Worst-case execution-time analysis for embedded real-time systems

2003 ◽  
Vol 4 (4) ◽  
pp. 437-455 ◽  
Author(s):  
Jakob Engblom ◽  
Andreas Ermedahl ◽  
Mikael Sjödin ◽  
Jan Gustafsson ◽  
Hans Hansson
Keyword(s):  
Real Time ◽  
Execution Time ◽  
Real Time Systems ◽  
Time Analysis ◽  
Worst Case ◽  
Worst Case Execution Time ◽  
Time Systems

Static worst-case execution time analysis of the μC/OS-II real-time kernel

2010 ◽  
Vol 4 (1) ◽  
pp. 17-27 ◽  
Author(s):  
Mingsong Lv ◽  
Nan Guan ◽  
Qingxu Deng ◽  
Ge Yu ◽  
Yi Wang
Keyword(s):  
Real Time ◽  
Execution Time ◽  
Time Analysis ◽  
Worst Case ◽  
Worst Case Execution Time

scholarly journals PBench: A Parallel, Real-Time Benchmark Suite

2018 ◽  
Vol 1 (1) ◽  
pp. 178-186 ◽  
Author(s):  
Sevil Serttaş ◽  
Veysel Harun Şahin
Keyword(s):  
Real Time ◽  
Execution Time ◽  
Matrix Multiplication ◽  
Multiprocessor Systems ◽  
Time Analysis ◽  
Worst Case ◽  
Analysis Methods ◽  
Worst Case Execution Time ◽  
Benchmark Suite ◽  
Time Systems

Real-time systems are widely used from the automotive industry to the aerospace industry. The scientists, researchers, and engineers who develop real-time platforms, worst-case execution time analysis methods and tools need to compare their solutions to alternatives. For this purpose, they use benchmark applications. Today many of our computing systems are multicore and/or multiprocessor systems. Therefore, to be able to compare the effectiveness of real-time platforms, worst-case execution time analysis methods and tools, the research community need multi-threaded benchmark applications which scale on multicore and/or multiprocessor systems. In this paper, we present the first version of PBench, a parallel, real-time benchmark suite. PBench includes different types of multi-threaded applications which implement various algorithms from searching to sorting, matrix multiplication to probability distribution calculation. In addition, PBench provides single-threaded versions of all programs to allow side by side comparisons.

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