Hierarchical timed abstract state machines for WCET estimation
by Vladimir-Alexandru Paun; Bruno Monsuez; Philippe Baufreton
International Journal of Critical Computer-Based Systems (IJCCBS), Vol. 6, No. 4, 2016

Abstract: In this paper, we present an extension of the abstract state machines suited for the modelling of complex processors in the context of system verification. Besides processor simulation, the goal of our model is to provide a base for worst-case execution time estimation, providing abstraction capabilities that enable the scaling of analysis. The main difference between our model and other ASM extensions is that we define time as a mean to enable time accurate runs and hierarchical abstraction levels of components, while staying the closest possible to the original ASM mathematical foundation. The model is also designed to dynamically choose a suited component definition in order to adapt to information precision on data values. The time extension helps modelling non-instantaneous actions, which is essential for real-time systems. Adaptable precision and separation of the analysis from the model of the processor will prove well suited for integration into a worst-case execution time estimation tool.

Online publication date: Thu, 26-Jan-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Critical Computer-Based Systems (IJCCBS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com