Projekt per år
Sammanfattning
In this paper we present a novel algorithm for automatic performance testing that uses an online variant of the Generative Adversarial Network (GAN) to optimize the test generation process. The objective of the proposed approach is to generate, for a given test budget, a test suite containing a high number of tests revealing performance defects. This is achieved using a GAN to generate the tests and predict their outcome. This GAN is trained online while generating and executing the tests. The proposed approach does not require a prior training set or model of the system under test. We provide an initial evaluation the algorithm using an example test system, and compare the obtained results with other possible approaches.We consider that the presented algorithm serves as a proof of concept and we hope that it can spark a research discussion on the application of GANs to test generation.
Originalspråk | Engelska |
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Titel på värdpublikation | Proceedings - 2021 IEEE 14th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2021 |
Förlag | IEEE |
Sidor | 95-100 |
ISBN (elektroniskt) | 9781665444569 |
ISBN (tryckt) | 978-1-6654-4457-6 |
DOI | |
Status | Publicerad - apr. 2021 |
MoE-publikationstyp | A4 Artikel i en konferenspublikation |
Evenemang | IEEE International Conference on Software Testing Verification and Validation Workshop - Varaktighet: 12 apr. 2021 → 16 apr. 2021 |
Publikationsserier
Namn | Proceedings - 2021 IEEE 14th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2021 |
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Konferens
Konferens | IEEE International Conference on Software Testing Verification and Validation Workshop |
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Förkortad titel | ICSTW |
Period | 12/04/21 → 16/04/21 |
Fingeravtryck
Fördjupa i forskningsämnen för ”Online GANs for Automatic Performance Testing”. Tillsammans bildar de ett unikt fingeravtryck.Projekt
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AIDOaRT
Porres Paltor, I. (Ansvarig forskare), Truscan, D. (CoPI), Nybom, K. (CoI) & Logacheva, E. (CoI)
01/04/21 → 30/09/24
Projekt: EU