{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:25:36Z","timestamp":1787311536419,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":61,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,11]],"date-time":"2022-06-11T00:00:00Z","timestamp":1654905600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61802167"],"award-info":[{"award-number":["61802167"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6,11]]},"DOI":"10.1145\/3545258.3545268","type":"proceedings-article","created":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T12:09:39Z","timestamp":1663243779000},"page":"96-106","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":26,"title":["Neural Program Repair : Systems, Challenges and Solutions"],"prefix":"10.1145","author":[{"given":"Wenkang","family":"Zhong","sequence":"first","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanyi","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jidong","family":"Ge","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Luo","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,9,15]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"6th International Conference on Learning Representations, ICLR","author":"Allamanis Miltiadis","year":"2018","unstructured":"Miltiadis Allamanis , Marc Brockschmidt , and Mahmoud Khademi . 2018. Learning to Represent Programs with Graphs . In 6th International Conference on Learning Representations, ICLR 2018 , Vancouver, BC , Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview .net. https:\/\/openreview.net\/forum?id=BJOFETxR- Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi. 2018. Learning to Represent Programs with Graphs. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=BJOFETxR-"},{"key":"e_1_3_2_2_2_1","volume-title":"3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1409","author":"Bahdanau Dzmitry","year":"2015","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . Neural Machine Translation by Jointly Learning to Align and Translate . In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1409 .0473 Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1409.0473"},{"key":"e_1_3_2_2_3_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning, ICML 2021","author":"Berabi Berkay","year":"2021","unstructured":"Berkay Berabi , Jingxuan He , Veselin Raychev , and Martin\u00a0 T. Vechev . 2021 . TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer . In Proceedings of the 38th International Conference on Machine Learning, ICML 2021 , 18-24 July 2021, Virtual Event(Proceedings of Machine Learning Research, Vol.\u00a0139), Marina Meila and Tong Zhang (Eds.). PMLR, 780\u2013791. http:\/\/proceedings.mlr.press\/v139\/berabi21a.html Berkay Berabi, Jingxuan He, Veselin Raychev, and Martin\u00a0T. Vechev. 2021. TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer. In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event(Proceedings of Machine Learning Research, Vol.\u00a0139), Marina Meila and Tong Zhang (Eds.). PMLR, 780\u2013791. http:\/\/proceedings.mlr.press\/v139\/berabi21a.html"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSSR51244.2020.00029"},{"key":"e_1_3_2_2_6_1","volume-title":"Codit: Code editing with tree-based neural models","author":"Chakraborty Saikat","year":"2020","unstructured":"Saikat Chakraborty , Yangruibo Ding , Miltiadis Allamanis , and Baishakhi Ray . 2020 . Codit: Code editing with tree-based neural models . IEEE Transactions on Software Engineering( 2020). Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, and Baishakhi Ray. 2020. Codit: Code editing with tree-based neural models. IEEE Transactions on Software Engineering(2020)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2020.2970009"},{"key":"e_1_3_2_2_8_1","unstructured":"Zimin Chen Steve Kommrusch and Martin Monperrus. 2021. Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. CoRR abs\/2104.08308(2021). arXiv:2104.08308https:\/\/arxiv.org\/abs\/2104.08308  Zimin Chen Steve Kommrusch and Martin Monperrus. 2021. Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. CoRR abs\/2104.08308(2021). arXiv:2104.08308https:\/\/arxiv.org\/abs\/2104.08308"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2019.2940179"},{"key":"e_1_3_2_2_10_1","unstructured":"Zimin Chen and Martin Monperrus. 2018. The CodRep Machine Learning on Source Code Competition. CoRR abs\/1807.03200(2018). arXiv:1807.03200http:\/\/arxiv.org\/abs\/1807.03200  Zimin Chen and Martin Monperrus. 2018. The CodRep Machine Learning on Source Code Competition. CoRR abs\/1807.03200(2018). arXiv:1807.03200http:\/\/arxiv.org\/abs\/1807.03200"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1046"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_2_13_1","volume-title":"8th International Conference on Learning Representations, ICLR 2020","author":"Dinella Elizabeth","year":"2020","unstructured":"Elizabeth Dinella , Hanjun Dai , Ziyang Li , Mayur Naik , Le Song , and Ke Wang . 2020 . Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs . In 8th International Conference on Learning Representations, ICLR 2020 , Addis Ababa, Ethiopia , April 26-30, 2020. OpenReview.net. https:\/\/openreview.net\/forum?id=SJeqs6EFvB Elizabeth Dinella, Hanjun Dai, Ziyang Li, Mayur Naik, Le Song, and Ke Wang. 2020. Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. OpenReview.net. https:\/\/openreview.net\/forum?id=SJeqs6EFvB"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3324884.3416587"},{"key":"e_1_3_2_2_15_1","unstructured":"Dawn Drain Colin\u00a0B. Clement Guillermo Serrato and Neel Sundaresan. 2021. DeepDebug: Fixing Python Bugs Using Stack Traces Backtranslation and Code Skeletons. CoRR abs\/2105.09352(2021). arXiv:2105.09352https:\/\/arxiv.org\/abs\/2105.09352  Dawn Drain Colin\u00a0B. Clement Guillermo Serrato and Neel Sundaresan. 2021. DeepDebug: Fixing Python Bugs Using Stack Traces Backtranslation and Code Skeletons. CoRR abs\/2105.09352(2021). arXiv:2105.09352https:\/\/arxiv.org\/abs\/2105.09352"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2011.104"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10742"},{"key":"e_1_3_2_2_19_1","unstructured":"Hideaki Hata Emad Shihab and Graham Neubig. 2018. Learning to Generate Corrective Patches using Neural Machine Translation. CoRR abs\/1812.07170(2018). arXiv:1812.07170http:\/\/arxiv.org\/abs\/1812.07170  Hideaki Hata Emad Shihab and Graham Neubig. 2018. Learning to Generate Corrective Patches using Neural Machine Translation. CoRR abs\/1812.07170(2018). arXiv:1812.07170http:\/\/arxiv.org\/abs\/1812.07170"},{"key":"e_1_3_2_2_20_1","volume-title":"Advances in Neural Information Processing Systems 9","author":"Hochreiter Sepp","year":"1996","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1996. LSTM can Solve Hard Long Time Lag Problems . In Advances in Neural Information Processing Systems 9 , NIPS, Denver, CO, USA , December 2-5, 1996 , Michael Mozer, Michael\u00a0I. Jordan, and Thomas Petsche (Eds.). MIT Press , 473\u2013479. http:\/\/papers.nips.cc\/paper\/1215-lstm-can-solve-hard-long-time-lag-problems Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1996. LSTM can Solve Hard Long Time Lag Problems. In Advances in Neural Information Processing Systems 9, NIPS, Denver, CO, USA, December 2-5, 1996, Michael Mozer, Michael\u00a0I. Jordan, and Thomas Petsche (Eds.). MIT Press, 473\u2013479. http:\/\/papers.nips.cc\/paper\/1215-lstm-can-solve-hard-long-time-lag-problems"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3213846.3213871"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE43902.2021.00107"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2610384.2628055"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01692511"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1002\/smr.2181"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380345"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3135932.3135941"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380338"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3395363.3397369"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2931037.2948705"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99241-9_3"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSR52588.2021.00063"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3105906"},{"key":"e_1_3_2_2_34_1","unstructured":"Martin Monperrus. 2020. The living review on automated program repair. (2020).  Martin Monperrus. 2020. The living review on automated program repair. (2020)."},{"key":"e_1_3_2_2_35_1","volume-title":"CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software. (12","author":"Monperrus Martin","year":"2012","unstructured":"Martin Monperrus and Matias Martinez . 2012. CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software. (12 2012 ). Martin Monperrus and Matias Martinez. 2012. CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software. (12 2012)."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.2197\/ipsjjip.29.490"},{"key":"e_1_3_2_2_37_1","unstructured":"Marjane Namavar Noor Nashid and Ali Mesbah. 2021. A Controlled Experiment of Different Code Representations for Learning-Based Bug Repair. CoRR abs\/2110.14081(2021). arXiv:2110.14081https:\/\/arxiv.org\/abs\/2110.14081  Marjane Namavar Noor Nashid and Ali Mesbah. 2021. A Controlled Experiment of Different Code Representations for Learning-Based Bug Repair. CoRR abs\/2110.14081(2021). arXiv:2110.14081https:\/\/arxiv.org\/abs\/2110.14081"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2013.6606623"},{"key":"e_1_3_2_2_39_1","unstructured":"Alec Radford Karthik Narasimhan Tim Salimans and Ilya Sutskever. 2018. Improving language understanding by generative pre-training. (2018).  Alec Radford Karthik Narasimhan Tim Salimans and Ilya Sutskever. 2018. Improving language understanding by generative pre-training. (2018)."},{"key":"e_1_3_2_2_40_1","article-title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","volume":"21","author":"Raffel Colin","year":"2020","unstructured":"Colin Raffel , Noam Shazeer , Adam Roberts , Katherine Lee , Sharan Narang , Michael Matena , Yanqi Zhou , Wei Li , and Peter\u00a0 J. Liu . 2020 . Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer . J. Mach. Learn. Res. 21 (2020), 140:1\u2013140:67. http:\/\/jmlr.org\/papers\/v21\/20-074.html Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter\u00a0J. Liu. 2020. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. J. Mach. Learn. Res. 21(2020), 140:1\u2013140:67. http:\/\/jmlr.org\/papers\/v21\/20-074.html","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-015-9406-4"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1162"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6430"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.111"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340544"},{"key":"e_1_3_2_2_48_1","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Vasic Marko","year":"2019","unstructured":"Marko Vasic , Aditya Kanade , Petros Maniatis , David Bieber , and Rishabh Singh . 2019 . Neural Program Repair by Jointly Learning to Localize and Repair . In 7th International Conference on Learning Representations, ICLR 2019 , New Orleans, LA, USA , May 6-9, 2019. OpenReview.net. https:\/\/openreview.net\/forum?id=ByloJ20qtm Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, and Rishabh Singh. 2019. Neural Program Repair by Jointly Learning to Localize and Repair. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019. OpenReview.net. https:\/\/openreview.net\/forum?id=ByloJ20qtm"},{"key":"e_1_3_2_2_49_1","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan\u00a0 N. Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017 . Attention is All you Need . In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017 , December 4-9, 2017, Long Beach, CA, USA, Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna\u00a0M. Wallach, Rob Fergus, S.\u00a0V.\u00a0N. Vishwanathan, and Roman Garnett (Eds.). 5998\u20136008. https:\/\/proceedings.neurips.cc\/paper\/ 2017\/hash\/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna\u00a0M. Wallach, Rob Fergus, S.\u00a0V.\u00a0N. Vishwanathan, and Roman Garnett (Eds.). 5998\u20136008. https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238206"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180233"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2016.2521368"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2017.8115676"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2017.45"},{"key":"e_1_3_2_2_55_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020","author":"Yasunaga Michihiro","year":"2020","unstructured":"Michihiro Yasunaga and Percy Liang . 2020 . Graph-based, Self-Supervised Program Repair from Diagnostic Feedback . In Proceedings of the 37th International Conference on Machine Learning, ICML 2020 , 13-18 July 2020, Virtual Event(Proceedings of Machine Learning Research, Vol.\u00a0119). PMLR, 10799\u201310808. http:\/\/proceedings.mlr.press\/v119\/yasunaga20a.html Michihiro Yasunaga and Percy Liang. 2020. Graph-based, Self-Supervised Program Repair from Diagnostic Feedback. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event(Proceedings of Machine Learning Research, Vol.\u00a0119). PMLR, 10799\u201310808. http:\/\/proceedings.mlr.press\/v119\/yasunaga20a.html"},{"key":"e_1_3_2_2_56_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning, ICML 2021","author":"Yasunaga Michihiro","year":"2021","unstructured":"Michihiro Yasunaga and Percy Liang . 2021 . Break-It-Fix-It: Unsupervised Learning for Program Repair . In Proceedings of the 38th International Conference on Machine Learning, ICML 2021 , 18-24 July 2021, Virtual Event(Proceedings of Machine Learning Research, Vol.\u00a0139), Marina Meila and Tong Zhang (Eds.). PMLR, 1 1941\u201311952. http:\/\/proceedings.mlr.press\/v139\/yasunaga21a.html Michihiro Yasunaga and Percy Liang. 2021. Break-It-Fix-It: Unsupervised Learning for Program Repair. In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event(Proceedings of Machine Learning Research, Vol.\u00a0139), Marina Meila and Tong Zhang (Eds.). PMLR, 11941\u201311952. http:\/\/proceedings.mlr.press\/v139\/yasunaga21a.html"},{"key":"e_1_3_2_2_57_1","unstructured":"He Ye Matias Martinez and Martin Monperrus. 2021. Neural Program Repair with Execution-based Backpropagation. CoRR abs\/2105.04123(2021). arXiv:2105.04123https:\/\/arxiv.org\/abs\/2105.04123  He Ye Matias Martinez and Martin Monperrus. 2021. Neural Program Repair with Execution-based Backpropagation. CoRR abs\/2105.04123(2021). arXiv:2105.04123https:\/\/arxiv.org\/abs\/2105.04123"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377812.3382150"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2018.2874648"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2015.101"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2012.6227210"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3468544"}],"event":{"name":"Internetware 2022: 13th Asia-Pacific Symposium on Internetware","location":"Hohhot China","acronym":"Internetware 2022"},"container-title":["Proceedings of the 13th Asia-Pacific Symposium on Internetware"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3545258.3545268","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3545258.3545268","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T15:02:45Z","timestamp":1750172565000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3545258.3545268"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,11]]},"references-count":61,"alternative-id":["10.1145\/3545258.3545268","10.1145\/3545258"],"URL":"https:\/\/doi.org\/10.1145\/3545258.3545268","relation":{},"subject":[],"published":{"date-parts":[[2022,6,11]]},"assertion":[{"value":"2022-09-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}