Advanced Search
CS Search Google Search
Subscribers, please login

Published Articles >> Table of Contents >> Abstract

Eighth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems (WORDS'03)   p. 113
Search-based Execution-Time Verification in Object-Oriented and Component-Based Real-Time System Development

Full Article Text: Download PDF of full textBuy this articleGet full text from IEEE Xplore

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WORDS.2003.1218073
Send link to a friend

Abstract
Execution time analysis is an essential verification activity during real-time system construction. This activity can be performed dynamically through search-based analysis techniques such as evolutionary algorithms. Evolutionary algorithms have already been successfully used for execution-time analysis under the traditional procedural development paradigm. This paper describes a first attempt in making search-based execution-time analysis techniques also applicable under the more recent object-oriented and component-based software development paradigms. Here, their application is more difficult compared with the traditional procedural development approaches because object-based architectures are inherently encapsulated, and they often represent state machines. This work proposes a solution that makes search techniques applicable in real-time system development with object technology. It is based on inbuilt testing artefacts and on the execution and optimisation of an object’s invocation history through a genetic algorithm. We demonstrate the applicability of the technique through a simple object-oriented real-time system.
Additional Information

Citation:  Hans-Gerhard Gross, Nikolas Mayer, "Search-based Execution-Time Verification in Object-Oriented and Component-Based Real-Time System Development," words, p. 113,  Eighth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems (WORDS'03),  2003

Similar Articles

Abstract Contents
Abstract
Citation




Free access to

  • Abstracts
  • Selected PDFs

Electronic subscribers login to:

  • Access HTML/PDFs of full text articles

Subscription information

Get a Web account

PDFs require Adobe Acrobat Reader.

Peer Review Notice

Give us Feedback