Presentation
Search-based mutation testing to improve performance tests
Author/s | Sánchez Jerez, Ana Belén
Delgado Pérez, Pedro Medina Bulo, Inmaculada Segura Rueda, Sergio |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2018 |
Deposit Date | 2022-07-07 |
Published in |
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ISBN/ISSN | 978-1-4503-5764-7 |
Abstract | Performance bugs are common and can cause a significant deterio ration in the behaviour of a program, leading to costly issues. To
detect them and reduce their impact, performance tests are typi cally applied. However, ... Performance bugs are common and can cause a significant deterio ration in the behaviour of a program, leading to costly issues. To detect them and reduce their impact, performance tests are typi cally applied. However, there is a lack of mechanisms to evaluate the quality of performance tests, causing many of these bugs re main unrevealed. Mutation testing, a fault-based technique to assess and improve test suites, has been successfully studied with func tional tests. In this paper, we propose the use of mutation testing together with a search-based strategy (evolutionary algorithm) to find mutants that simulate performance issues. This novel approach contributes to enhance the confidence on performance tests while reducing the cost of mutation testing. |
Funding agencies | Ministerio de Economía y Competitividad (MINECO). España |
Project ID. | BELI (TIN2015-70560-R)
TIN2015-65845-C3-3-R |
Citation | Sánchez Jerez, A.B., Delgado Pérez, P., Medina Bulo, I. y Segura Rueda, S. (2018). Search-based mutation testing to improve performance tests. En GECCO 2018: the Genetic and Evolutionary Computation Conference (316-317), Kyoto, Japan: Association for Computing Machinery (ACM). |
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