Abstract
Software systems are used regularly in safety-relevant applications. Therefore, the occurrence of critical defects may not only cause costly recalls but may also endanger human lives. Accordingly, the development of software systems in industrial practice must comply with the highest quality requirements and standards. In practice, the most important analytical quality assurance method is dynamic testing and the most important activity to ensure this quality is test case determination. The effectiveness and efficiency of the test process can be clearly improved by Evolutionary Testing. Evolutionary Testing is a metaheuristic search technique for the generation of test cases.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wegener, J., Baresel, A., Sthamer, H.: Evolutionary test environment for automatic structural testing. Information and Software Technology Special Issue on Software Engineering using Metaheuristic Innovative Algorithms 43(14), 841–854 (2001)
Wegener, J., Grochtmann, M.: Verifying time constraints of real-time systems by means of evolutionary testing. Real-Time Systems 15(3), 275–298 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baresel, A., Sthamer, H., Wegener, J. (2004). Applying Evolutionary Testing to Search for Critical Defects. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24855-2_163
Download citation
DOI: https://doi.org/10.1007/978-3-540-24855-2_163
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22343-6
Online ISBN: 978-3-540-24855-2
eBook Packages: Springer Book Archive