This chapter focuses on the analysis of the timing behavior of software applications that expose real-time (RT) requirements. The state-of-the-art methodologies to timing analysis of software programs are generally split into four categories, referred to as static, measurement-based, hybrid, and probabilistic analysis techniques. First, we present an overview of each of these methodologies and discuss their advantages and disadvantages. Next, we explain the choices made by our proposed methodology in Section 5.2 and present the details of the solution in Section 5.3. Finally, we conclude the chapter in Section 5.4 with a summary.info:eu-repo/semantics/publishedVersio
This paper examines the problem of statically analyzing the performance of embedded software. This p...
Rapid development processes and higher customer requirements lead to increasing integration of softw...
Timing verification of embedded critical real-time systems is hindered by complex designs. Timing an...
This survey covers probabilistic timing analysis techniques for real-time systems. It reviews and cr...
Abstract Probabilistic and statistical temporal analyses have been developedas a means of determinin...
Presented at 23rd International Conference on Real-Time Networks and Systems (RTNS 2015). 4 to 6, No...
Static Timing Analysis is the state-of-the-art practice to ascertain the timing behaviour of current...
International audienceStatic timing analysis is the state-of-the-art practice of ascertaining the ti...
Timing analysis is the application of one or more well-established predictive methods to derive the ...
Abstract. Hard real-time systems have to satisfy strict timing con-straints. To prove that these con...
The rigorous application of static timing analysis requires a large and costly amount of detail kno...
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyrigh...
Many industrial real-time embedded systems are very large, flexible and highly configurable software...
The unabated increase in the complexity of the hardware and software components of modern embedded r...
The rigorous application of static timing analysis requires a large and costly amount of detail know...
This paper examines the problem of statically analyzing the performance of embedded software. This p...
Rapid development processes and higher customer requirements lead to increasing integration of softw...
Timing verification of embedded critical real-time systems is hindered by complex designs. Timing an...
This survey covers probabilistic timing analysis techniques for real-time systems. It reviews and cr...
Abstract Probabilistic and statistical temporal analyses have been developedas a means of determinin...
Presented at 23rd International Conference on Real-Time Networks and Systems (RTNS 2015). 4 to 6, No...
Static Timing Analysis is the state-of-the-art practice to ascertain the timing behaviour of current...
International audienceStatic timing analysis is the state-of-the-art practice of ascertaining the ti...
Timing analysis is the application of one or more well-established predictive methods to derive the ...
Abstract. Hard real-time systems have to satisfy strict timing con-straints. To prove that these con...
The rigorous application of static timing analysis requires a large and costly amount of detail kno...
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyrigh...
Many industrial real-time embedded systems are very large, flexible and highly configurable software...
The unabated increase in the complexity of the hardware and software components of modern embedded r...
The rigorous application of static timing analysis requires a large and costly amount of detail know...
This paper examines the problem of statically analyzing the performance of embedded software. This p...
Rapid development processes and higher customer requirements lead to increasing integration of softw...
Timing verification of embedded critical real-time systems is hindered by complex designs. Timing an...