Event arrival functions are commonly required in real-time systems analysis. Yet, event arrival functions are often either modeled based on specifications or generated by using potentially unsafe captured traces. To overcome this shortcoming, we present a compiler-based approach to safely extract event arrival functions. The extraction takes place at the code-level considering a complete coverage of all possible paths in the program and resulting in a cycle accurate event arrival curve. In order to reduce the runtime overhead of the proposed algorithm, we extend our approach with an adjustable level of granularity always providing a safe approximation of the tightest possible event arrival curve. In an evaluation, we demonstrate that the re...
Timing is an important concern when designing an em-bedded system. While lots of researches on hard ...
To analyze complex and heterogeneous real-time embedded systems, recent works have proposed interfac...
We present a system for online, incremental composite event recognition. In streaming environments, ...
Event arrival functions are commonly required in real-time systems analysis. Yet, event arrival func...
The Real-Time Calculus (RTC) [19] is a framework to analyze heterogeneous real-time systems that pro...
Abstract—Systems for symbolic event recognition accept as input a stream of time-stamped events from...
We present a new abstraction technique, event order abstraction (EOA), for parametric safety verific...
Formal methods are growing in importance for performance analy-sis of real-time systems, but embedde...
Many real-time embedded systems process event streams that are composed of a finite number of differ...
Events play an important role in many computer systems, from small reactive embedded applications to...
Abstract—Analyzing future distributed real-time systems, au-tomotive and avionic systems, is requiri...
Many long-running computer systems record events as they execute, resulting in a dynamic record of s...
Analysis facilities are developed in the course of this thesis for a domain-specific real-time and r...
To analyze complex and heterogeneous real-time embedded systems, recent works have proposed interfac...
Many long-running computer systems record events as they execute, resulting in a dynamic record of s...
Timing is an important concern when designing an em-bedded system. While lots of researches on hard ...
To analyze complex and heterogeneous real-time embedded systems, recent works have proposed interfac...
We present a system for online, incremental composite event recognition. In streaming environments, ...
Event arrival functions are commonly required in real-time systems analysis. Yet, event arrival func...
The Real-Time Calculus (RTC) [19] is a framework to analyze heterogeneous real-time systems that pro...
Abstract—Systems for symbolic event recognition accept as input a stream of time-stamped events from...
We present a new abstraction technique, event order abstraction (EOA), for parametric safety verific...
Formal methods are growing in importance for performance analy-sis of real-time systems, but embedde...
Many real-time embedded systems process event streams that are composed of a finite number of differ...
Events play an important role in many computer systems, from small reactive embedded applications to...
Abstract—Analyzing future distributed real-time systems, au-tomotive and avionic systems, is requiri...
Many long-running computer systems record events as they execute, resulting in a dynamic record of s...
Analysis facilities are developed in the course of this thesis for a domain-specific real-time and r...
To analyze complex and heterogeneous real-time embedded systems, recent works have proposed interfac...
Many long-running computer systems record events as they execute, resulting in a dynamic record of s...
Timing is an important concern when designing an em-bedded system. While lots of researches on hard ...
To analyze complex and heterogeneous real-time embedded systems, recent works have proposed interfac...
We present a system for online, incremental composite event recognition. In streaming environments, ...