Signal Generation for Search-Based Testing of Continuous Systems

Windisch, A; Al Moubayed, N

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

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 2009 International Conference on Software Testing, Verification, and Validation Workshops
• 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