{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:08:22Z","timestamp":1740100102447,"version":"3.37.3"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003510","name":"Ministry of Education and Research","doi-asserted-by":"publisher","award":["01IS19035"],"award-info":[{"award-number":["01IS19035"]}],"id":[{"id":"10.13039\/501100003510","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,7]]},"DOI":"10.1109\/meco52532.2021.9460182","type":"proceedings-article","created":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T20:22:34Z","timestamp":1625170954000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["DeepTest: How Machine Learning Can Improve the Test of Embedded Systems"],"prefix":"10.1109","author":[{"given":"Jens","family":"Bielefeldt","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Basener","family":"Kai-Uwe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siddique","family":"Reza Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mozhdeh","family":"Massah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wiesbrock","family":"Hans-Werner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Scharoba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Hubner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916999"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/AITEST49225.2020.00013"},{"journal-title":"Autoencoding beyond pixels using a learned similarity metric","year":"2015","author":"larsen","key":"ref12"},{"journal-title":"Banach wasserstein gan","year":"2018","author":"adler","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"journal-title":"Geometrical insights for implicit generative modeling","year":"2017","author":"bottou","key":"ref15"},{"journal-title":"Improving the improved training of Wasserstein GANs A consistency term and its dual effect","year":"2018","author":"wei","key":"ref16"},{"journal-title":"Auto-encoding variational bayes","year":"2013","author":"kingma","key":"ref17"},{"journal-title":"Stochastic backpropagation and approximate inference in deep generative models","year":"2014","author":"rezende","key":"ref18"},{"journal-title":"Wasserstein GAN","year":"2017","author":"arjovsky","key":"ref19"},{"journal-title":"Generative adversarial networks","year":"2014","author":"goodfellow","key":"ref4"},{"journal-title":"Reviews for software test automation reviews 2021 - gartner peer insights","year":"2021","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.013"},{"journal-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","year":"2019","author":"radford","key":"ref5"},{"journal-title":"Sensegen A deep learning architecture for synthetic sensor data generation","year":"2017","author":"alzantot","key":"ref8"},{"journal-title":"Quick and easy time series generation with established image-based gans","year":"2019","author":"brophy","key":"ref7"},{"key":"ref2","article-title":"Eine stochastische testmethodik für den robustheitstest automobiler steuergeräte","volume":"246","author":"wiesbrock","year":"2015","journal-title":"ser GI-Edition Lecture Notes in Informatics Proceedings"},{"key":"ref1","article-title":"Proposal for an automatic evaluation of ecu output signals","author":"gips","year":"2007","journal-title":"Dagstuhl-Workshop MBEES 2007 Modellbasierte Entwicklung eingebetteter Systeme"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2018.8587464"},{"journal-title":"Hilbert space embeddings and metrics on probability measures","year":"2009","author":"sriperumbudur","key":"ref20"},{"journal-title":"Improved training of wasserstein gans","year":"2017","author":"gulrajani","key":"ref22"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-71050-9","volume":"338","author":"villani","year":"2009","journal-title":"Optimal Transport Old and New ser Grundlehren der mathematischen Wissenschaften"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.4271\/2005-01-1659"}],"event":{"name":"2021 10th Mediterranean Conference on Embedded Computing (MECO)","start":{"date-parts":[[2021,6,7]]},"location":"Budva, Montenegro","end":{"date-parts":[[2021,6,10]]}},"container-title":["2021 10th Mediterranean Conference on Embedded Computing (MECO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9460112\/9459718\/09460182.pdf?arnumber=9460182","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:43:00Z","timestamp":1652197380000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9460182\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,7]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/meco52532.2021.9460182","relation":{},"subject":[],"published":{"date-parts":[[2021,6,7]]}}}