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Signal Generation for Search-Based Testing of Continuous Systems

Windisch, A; Al Moubayed, N

Authors

A Windisch



Abstract

Test case generation constitutes a critical activity in software testing that is cost-intensive, time-consuming and error-prone when done manually. Hence, an automation of this process is required. One automation approach is search-based testing for which the task of generating test data is transformed into an optimization problem which is solved using metaheuristic search techniques. However, only little work has been done so far applying search-based testing techniques to systems that depend on continuous input signals. This paper proposes two novel approaches to generating input signals from within search-based testing techniques for continuous systems. These approaches are then shown to be very effective when experimentally applied to the problem of approximating a set of realistic signals.

Citation

Windisch, A., & Al Moubayed, N. (2009). Signal Generation for Search-Based Testing of Continuous Systems. . https://doi.org/10.1109/icstw.2009.16

Conference Name 2009 International Conference on Software Testing, Verification, and Validation Workshops
Conference Location Denver, CO
Start Date Apr 1, 2009
End Date Apr 4, 2009
Online Publication Date May 26, 2009
Publication Date 2009
Deposit Date Jan 26, 2016
Publisher Institute of Electrical and Electronics Engineers
Pages 121-130
ISBN 978-0-7695-3671-2
DOI https://doi.org/10.1109/icstw.2009.16
Public URL https://durham-repository.worktribe.com/output/1151576