DeepTest: Using Machine Learning for Generating new Testsequences-Reference-Cited by-同舟云学术

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DeepTest: Using Machine Learning for Generating new Testsequences

Published:2024-06-11 Issue: Volume:338 Page:1-9
ISSN:
Container-title:2024 13th Mediterranean Conference on Embedded Computing (MECO)
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Author:

Bielefeldt Jens¹,Basener Kai-Uwe²,Krajewski Roman³,Wiesbrock Hans-Werner³,Reichenbach Marc⁴,Hübner Michael⁵

Affiliation:

1. Compleo Charging Solution GmbH Co. KG,Dortmund,Germany

2. Kostal Industrie Elektrik GmbH Co. KG,Hagen,Germany

3. ITPower Solutions GmbH,Berlin,Germany

4. Universität Rostock,Rostock,Germany

5. BTU Cottbus–Senftenberg Fachgebiet Technische Informatik,Cottbus,Germany

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577658/10577767/10577951.pdf?arnumber=10577951

Reference27 articles.

1. Reviews for software test automation reviews 2021 — gartner peer insights,2021

2. Generative adversarial networks;Goodfellow,2014

3. Unsupervised representation learning with deep convolutional generative adversarial networks;Radford,2019

4. GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification

5. Quick and easy time series generation with established image-based gans;Brophy,2019

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