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GECCO
2005
Springer

Stress testing real-time systems with genetic algorithms

11 years 5 months ago
Stress testing real-time systems with genetic algorithms
Reactive real-time systems have to react to external events within time constraints: Triggered tasks must execute within deadlines. The goal of this article is to automate, based on the system task architecture, the derivation of test cases that maximize the chances of critical deadline misses within the system. We refer to that testing activity as stress testing. We have developed a method based on genetic algorithms and implemented it in a tool. Case studies were run and results show that the tool may actually help testers identify test cases that will likely stress the system to such an extent that some tasks may miss deadlines. Categories and Subject Descriptors D.2.4 [Software Engineering]: Software/Program Verification – validation, reliability General Terms Algorithms, Performance, Design, Reliability, Experimentation, Theory, Verification. Keywords Schedulability theory, Genetic algorithms
Lionel C. Briand, Yvan Labiche, Marwa Shousha
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Lionel C. Briand, Yvan Labiche, Marwa Shousha
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