{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T22:57:31Z","timestamp":1772492251051,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,27]],"date-time":"2020-06-27T00:00:00Z","timestamp":1593216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001601","name":"Royal Irish Academy","doi-asserted-by":"publisher","award":["Charlemont Grant"],"award-info":[{"award-number":["Charlemont Grant"]}],"id":[{"id":"10.13039\/501100001601","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,27]]},"DOI":"10.1145\/3387940.3391462","type":"proceedings-article","created":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T15:22:00Z","timestamp":1601047320000},"page":"215-220","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Does Neuron Coverage Matter for Deep Reinforcement Learning?"],"prefix":"10.1145","author":[{"given":"Miller","family":"Trujillo","sequence":"first","affiliation":[{"name":"Systems and Computing Engineering, Universidad de los Andes, Bogot\u00e1, Colombia"}]},{"given":"Mario","family":"Linares-V\u00e1squez","sequence":"additional","affiliation":[{"name":"Systems and Computing Engineering, Universidad de los Andes, Bogot\u00e1, Colombia"}]},{"given":"Camilo","family":"Escobar-Vel\u00e1squez","sequence":"additional","affiliation":[{"name":"Systems and Computing Engineering, Universidad de los Andes, Bogot\u00e1, Colombia"}]},{"given":"Ivana","family":"Dusparic","sequence":"additional","affiliation":[{"name":"School of Computer Science and Statistics, Trinity College Dublin, Ireland"}]},{"given":"Nicol\u00e1s","family":"Cardozo","sequence":"additional","affiliation":[{"name":"Systems and Computing Engineering, Universidad de los Andes, Bogot\u00e1, Colombia"}]}],"member":"320","published-online":{"date-parts":[[2020,9,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Automated test generation to detect individual discrimination in AI models. arXiv preprint arXiv:1809.03260","author":"Agarwal A.","year":"2018","unstructured":"A. Agarwal Automated test generation to detect individual discrimination in AI models. arXiv preprint arXiv:1809.03260 ( 2018 ). A. Agarwal et al. Automated test generation to detect individual discrimination in AI models. arXiv preprint arXiv:1809.03260 (2018)."},{"key":"e_1_3_2_1_2_1","volume-title":"Perspectives in Testing Deep RL. DeepTest'19","author":"Cardozo N.","year":"2019","unstructured":"N. Cardozo , I. Dusparic , and M. Linares-V\u00e1squez . Perspectives in Testing Deep RL. DeepTest'19 . 2019 . N. Cardozo, I. Dusparic, and M. Linares-V\u00e1squez. Perspectives in Testing Deep RL. DeepTest'19. 2019."},{"key":"e_1_3_2_1_3_1","volume-title":"Symbolic execution for deep neural networks. arXiv preprint arXiv:1807.10439","author":"Gopinath D.","year":"2018","unstructured":"D. Gopinath Symbolic execution for deep neural networks. arXiv preprint arXiv:1807.10439 ( 2018 ). D. Gopinath et al. Symbolic execution for deep neural networks. arXiv preprint arXiv:1807.10439 (2018)."},{"key":"e_1_3_2_1_4_1","volume-title":"Combinatorial testing for deep learning systems. arXiv preprint arXiv:1806.07723","author":"Ma L.","year":"2018","unstructured":"L. Ma Combinatorial testing for deep learning systems. arXiv preprint arXiv:1806.07723 ( 2018 ). L. Ma et al. Combinatorial testing for deep learning systems. arXiv preprint arXiv:1806.07723 (2018)."},{"key":"e_1_3_2_1_5_1","first-page":"120","volume-title":"DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems. Proc. of the 33rd ACM\/IEEE Intl. Conf. on Automated Software Engineering. Association for Computing Machinery","author":"Ma L.","year":"2018","unstructured":"L. Ma DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems. Proc. of the 33rd ACM\/IEEE Intl. Conf. on Automated Software Engineering. Association for Computing Machinery , 2018 , pp. 120 -- 131 . L. Ma et al. DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems. Proc. of the 33rd ACM\/IEEE Intl. Conf. on Automated Software Engineering. Association for Computing Machinery, 2018, pp. 120--131."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132785"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3850\/9783981537079_0954"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/3312046"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"e_1_3_2_1_11_1","volume-title":"Testing Deep Neural Networks. CoRR abs\/1803.04792","author":"Sun Y.","year":"2018","unstructured":"Y. Sun , X. Huang , and D. Kroening . Testing Deep Neural Networks. CoRR abs\/1803.04792 ( 2018 ). Y. Sun, X. Huang, and D. Kroening. Testing Deep Neural Networks. CoRR abs\/1803.04792 (2018)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238172"},{"key":"e_1_3_2_1_13_1","first-page":"320","volume-title":"Structural Test Coverage Criteria for Deep Neural Networks. IEEE\/ACM 41st Intl. Conf. on Software Engineering: Companion Proc. (ICSE-Companion).","author":"Sun Y.","year":"2019","unstructured":"Y. Sun Structural Test Coverage Criteria for Deep Neural Networks. IEEE\/ACM 41st Intl. Conf. on Software Engineering: Companion Proc. (ICSE-Companion). 2019 , pp. 320 -- 321 . Y. Sun et al. Structural Test Coverage Criteria for Deep Neural Networks. IEEE\/ACM 41st Intl. Conf. on Software Engineering: Companion Proc. (ICSE-Companion). 2019, pp. 320--321."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180220"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017136"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3618-5_4"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-89960-2_22"},{"key":"e_1_3_2_1_18_1","volume-title":"Coverage-guided fuzzing for deep neural networks. arXiv preprint arXiv:1809.01266","author":"Xie X.","year":"2018","unstructured":"X. Xie Coverage-guided fuzzing for deep neural networks. arXiv preprint arXiv:1809.01266 ( 2018 ). X. Xie et al. Coverage-guided fuzzing for deep neural networks. arXiv preprint arXiv:1809.01266 (2018)."},{"key":"e_1_3_2_1_19_1","volume-title":"Machine Learning Testing: Survey, Landscapes and Horizons. CoRR abs\/1906.10742","author":"Zhang J. M.","year":"2019","unstructured":"J. M. Zhang Machine Learning Testing: Survey, Landscapes and Horizons. CoRR abs\/1906.10742 ( 2019 ). J. M. Zhang et al. Machine Learning Testing: Survey, Landscapes and Horizons. CoRR abs\/1906.10742 (2019)."}],"event":{"name":"ICSE '20: 42nd International Conference on Software Engineering","location":"Seoul Republic of Korea","acronym":"ICSE '20","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering","KIISE Korean Institute of Information Scientists and Engineers","IEEE CS"]},"container-title":["Proceedings of the IEEE\/ACM 42nd International Conference on Software Engineering Workshops"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3387940.3391462","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3387940.3391462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:43Z","timestamp":1750200103000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3387940.3391462"}},"subtitle":["A Preliminary Study"],"short-title":[],"issued":{"date-parts":[[2020,6,27]]},"references-count":19,"alternative-id":["10.1145\/3387940.3391462","10.1145\/3387940"],"URL":"https:\/\/doi.org\/10.1145\/3387940.3391462","relation":{},"subject":[],"published":{"date-parts":[[2020,6,27]]},"assertion":[{"value":"2020-09-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}