{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T02:29:18Z","timestamp":1772159358341,"version":"3.50.1"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031362712","type":"print"},{"value":"9783031362729","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36272-9_74","type":"book-chapter","created":{"date-parts":[[2023,6,25]],"date-time":"2023-06-25T23:03:19Z","timestamp":1687734199000},"page":"798-803","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Automated Program Repair Using Generative Models for\u00a0Code Infilling"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2272-2763","authenticated-orcid":false,"given":"Charles","family":"Koutcheme","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7277-9282","authenticated-orcid":false,"given":"Sami","family":"Sarsa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6829-9449","authenticated-orcid":false,"given":"Juho","family":"Leinonen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6502-209X","authenticated-orcid":false,"given":"Arto","family":"Hellas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5150-9806","authenticated-orcid":false,"given":"Paul","family":"Denny","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,26]]},"reference":[{"key":"74_CR1","doi-asserted-by":"publisher","unstructured":"Azcona, D., Smeaton, A.: +5 Million Python & Bash Programming Submissions for 5 Courses & Grades for Computer-Based Exams Over 3 Academic Years (2020). https:\/\/doi.org\/10.6084\/m9.figshare.12610958.v1","DOI":"10.6084\/m9.figshare.12610958.v1"},{"key":"74_CR2","doi-asserted-by":"publisher","unstructured":"Bavarian, M., et al.: Efficient training of language models to fill in the middle (2022). https:\/\/doi.org\/10.48550\/ARXIV.2207.14255","DOI":"10.48550\/ARXIV.2207.14255"},{"key":"74_CR3","doi-asserted-by":"publisher","unstructured":"Bommasani, R., et al.: On the opportunities and risks of foundation models (2021). https:\/\/doi.org\/10.48550\/ARXIV.2108.07258","DOI":"10.48550\/ARXIV.2108.07258"},{"key":"74_CR4","doi-asserted-by":"publisher","unstructured":"Chen, M., et al.: Evaluating large language models trained on code (2021). https:\/\/doi.org\/10.48550\/ARXIV.2107.03374","DOI":"10.48550\/ARXIV.2107.03374"},{"issue":"09","key":"74_CR5","doi-asserted-by":"publisher","first-page":"1943","DOI":"10.1109\/TSE.2019.2940179","volume":"47","author":"Z Chen","year":"2021","unstructured":"Chen, Z., Kommrusch, S., Tufano, M., Pouchet, L., Poshyvanyk, D., Monperrus, M.: SequenceR: sequence-to-sequence learning for end-to-end program repair. IEEE Trans. Softw. Eng. 47(09), 1943\u20131959 (2021). https:\/\/doi.org\/10.1109\/TSE.2019.2940179","journal-title":"IEEE Trans. Softw. Eng."},{"key":"74_CR6","unstructured":"Cleuziou, G., Flouvat, F.: Learning student program embeddings using abstract execution traces. In: 14th International Conference on Educational Data Mining, pp. 252\u2013262 (2021)"},{"key":"74_CR7","unstructured":"Dey, N., et al.: Cerebras-GPT: open compute-optimal language models trained on the Cerebras wafer-scale cluster. arXiv preprint arXiv:2304.03208 (2023)"},{"key":"74_CR8","doi-asserted-by":"publisher","unstructured":"Fried, D., et al.: InCoder: a generative model for code infilling and synthesis (2022). https:\/\/doi.org\/10.48550\/ARXIV.2204.05999","DOI":"10.48550\/ARXIV.2204.05999"},{"key":"74_CR9","doi-asserted-by":"publisher","first-page":"111423","DOI":"10.1016\/j.jss.2022.111423","volume":"192","author":"T Hirsch","year":"2022","unstructured":"Hirsch, T., Hofer, B.: A systematic literature review on benchmarks for evaluating debugging approaches. J. Syst. Softw. 192, 111423 (2022). https:\/\/doi.org\/10.1016\/j.jss.2022.111423","journal-title":"J. Syst. Softw."},{"key":"74_CR10","doi-asserted-by":"crossref","unstructured":"Hu, Y., Ahmed, U.Z., Mechtaev, S., Leong, B., Roychoudhury, A.: Re-factoring based program repair applied to programming assignments. In: 2019 34th IEEE\/ACM International Conference on Automated Software Engineering (ASE) (2019)","DOI":"10.1109\/ASE.2019.00044"},{"issue":"1","key":"74_CR11","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/TSE.2011.104","volume":"38","author":"C Le Goues","year":"2012","unstructured":"Le Goues, C., Nguyen, T., Forrest, S., Weimer, W.: GenProg: a generic method for automatic software repair. IEEE Trans. Softw. Eng. 38(1), 54\u201372 (2012). https:\/\/doi.org\/10.1109\/TSE.2011.104","journal-title":"IEEE Trans. Softw. Eng."},{"key":"74_CR12","doi-asserted-by":"publisher","unstructured":"Lin, D., Koppel, J., Chen, A., Solar-Lezama, A.: QuixBugs: a multi-lingual program repair benchmark set based on the Quixey challenge. In: Proceedings Companion of the 2017 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity, pp. 55\u201356. SPLASH Companion 2017, ACM (2017). https:\/\/doi.org\/10.1145\/3135932.3135941","DOI":"10.1145\/3135932.3135941"},{"key":"74_CR13","doi-asserted-by":"crossref","unstructured":"Long, F., Rinard, M.: Automatic patch generation by learning correct code. In: Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages. POPL 2016, pp. 298\u2013312. ACM (2016)","DOI":"10.1145\/2837614.2837617"},{"issue":"2","key":"74_CR14","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1080\/08993400802114581","volume":"18","author":"R McCauley","year":"2008","unstructured":"McCauley, R., et al.: Debugging: a review of the literature from an educational perspective. Comput. Sci. Educ. 18(2), 67\u201392 (2008)","journal-title":"Comput. Sci. Educ."},{"key":"74_CR15","doi-asserted-by":"crossref","unstructured":"Prenner, J.A., Babii, H., Robbes, R.: Can OpenAI\u2019s codex fix bugs? An evaluation on QuixBugs. In: Proceedings of the Third International Workshop on Automated Program Repair, pp. 69\u201375 (2022)","DOI":"10.1145\/3524459.3527351"},{"key":"74_CR16","doi-asserted-by":"publisher","unstructured":"Pu, Y., Narasimhan, K., Solar-Lezama, A., Barzilay, R.: Sk_p: a neural program corrector for MOOCs. In: Companion Proceedings of the 2016 ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity, pp. 39\u201340. ACM (2016). https:\/\/doi.org\/10.1145\/2984043.2989222","DOI":"10.1145\/2984043.2989222"},{"key":"74_CR17","unstructured":"Touvron, H., et al.: Llama: open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)"},{"key":"74_CR18","doi-asserted-by":"publisher","unstructured":"Xia, C.S., Wei, Y., Zhang, L.: Practical program repair in the era of large pre-trained language models (2022). https:\/\/doi.org\/10.48550\/ARXIV.2210.14179","DOI":"10.48550\/ARXIV.2210.14179"},{"key":"74_CR19","doi-asserted-by":"publisher","unstructured":"Yasunaga, M., Liang, P.: Graph-based, self-supervised program repair from diagnostic feedback (2020). https:\/\/doi.org\/10.48550\/ARXIV.2005.10636","DOI":"10.48550\/ARXIV.2005.10636"},{"key":"74_CR20","doi-asserted-by":"publisher","unstructured":"Zhang, J., et al.: Repairing bugs in python assignments using large language models (2022). https:\/\/doi.org\/10.48550\/ARXIV.2209.14876","DOI":"10.48550\/ARXIV.2209.14876"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36272-9_74","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:14:07Z","timestamp":1710260047000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36272-9_74"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031362712","9783031362729"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36272-9_74","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aied2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"311","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}