Metamorphic Testing of Driverless Cars.
The article discusses the use of metamorphic testing to test driverless cars, specifically their untestable software, detecting fatal errors in autonomous vehicles' onboard computer systems. Topics include metamorphic testing's cost-effective ability to address the oracle problem and the automated t...
| Publicado en: | Communications of the ACM Vol. 62; no. 3; pp. 61 - 68 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Mar2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=134951009&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 134951009 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Mar2019 vid: 62 iid: 3 pid: 68 pub: Association for Computing Machinery artinfo: ui: 134951009 10.1145/3241979 ppf: 61 ppct: 7 formats: tig: atl: Metamorphic Testing of Driverless Cars. aug: au: ZHI QUAN ZHOU LIQUN SUN affil: Associate professor in software engineering at the School of Computing and Information Technology University of Wollongong, Wollongong, NSW, Australia M.Phil. degree in computer science at the University of Wollongong, Wollongong, NSW, Australia su: Automated guided vehicle systems Computer software testing Driverless cars LIDAR Radar sug: subj: Automated guided vehicle systems Computer software testing Driverless cars LIDAR Radar ab: The article discusses the use of metamorphic testing to test driverless cars, specifically their untestable software, detecting fatal errors in autonomous vehicles' onboard computer systems. Topics include metamorphic testing's cost-effective ability to address the oracle problem and the automated test-case-generation problem, and the use of both LiDAR obstacle perception to determine an object's shape and position and radar to estimate the velocity of moving obstacles in autonomous vehicles. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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