{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T22:57:32Z","timestamp":1772492252760,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1109\/saner.2019.8668044","type":"proceedings-article","created":{"date-parts":[[2019,3,19]],"date-time":"2019-03-19T01:30:10Z","timestamp":1552959010000},"page":"614-618","source":"Crossref","is-referenced-by-count":126,"title":["DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems"],"prefix":"10.1109","author":[{"given":"Lei","family":"Ma","sequence":"first","affiliation":[]},{"given":"Felix","family":"Juefei-Xu","sequence":"additional","affiliation":[]},{"given":"Minhui","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jianjun","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2017.02.004"},{"key":"ref11","first-page":"540","article-title":"Learning combinatorial interaction test generation strategies using hyperheuristic search","author":"jia","year":"2015","journal-title":"Proceedings of the International Conference on Software Engineering ICSE'94"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICST.2015.7102599"},{"key":"ref13","article-title":"Pairwise testing in real world","volume":"200","author":"czerwonka","year":"2006","journal-title":"24th Pacific Northwest Software Quality Conference"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1962.sp006837"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.23915\/distill.00010","article-title":"The building blocks of interpretability","author":"olah","year":"2018","journal-title":"Distillation"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180220"},{"key":"ref17","article-title":"Reluplex: An efficient SMT solver for verifying deep neural networks","volume":"abs 1702 1135","author":"katz","year":"2017","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICSTW.2011.100"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2015.49"},{"key":"ref4","article-title":"Testing Deep Neural Networks","author":"sun","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132785"},{"key":"ref6","article-title":"DeepMutation: Mutation Testing of Deep Learning Systems","author":"ma","year":"2018","journal-title":"International Symposium on Software Reliability Engineering (ISSRE) IEEE"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238202"},{"key":"ref8","article-title":"Deepcruiser: Automated guided testing for stateful deep learning systems","author":"du","year":"2018","journal-title":"arXiv preprint arXiv 1812 02588"},{"key":"ref7","article-title":"DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing","author":"xie","year":"2018","journal-title":"arXiv preprint arXiv 1809 01266"},{"key":"ref2","first-page":"arxiv:1810.01989","article-title":"Verification for Machine Learning, Autonomy, and Neural Networks Survey","author":"xiang","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref1","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"ICLRE"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1883612.1883618"},{"key":"ref20","article-title":"A survey of symbolic execution techniques","volume":"51","author":"baldoni","year":"2018","journal-title":"ACM Comput Surv"}],"event":{"name":"2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)","location":"Hangzhou, China","start":{"date-parts":[[2019,2,24]]},"end":{"date-parts":[[2019,2,27]]}},"container-title":["2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8663526\/8667965\/08668044.pdf?arnumber=8668044","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T14:50:25Z","timestamp":1658155825000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8668044\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/saner.2019.8668044","relation":{},"subject":[],"published":{"date-parts":[[2019,2]]}}}