{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T08:37:58Z","timestamp":1771576678889,"version":"3.50.1"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030937324","type":"print"},{"value":"9783030937331","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-93733-1_8","type":"book-chapter","created":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T06:02:58Z","timestamp":1645164178000},"page":"119-133","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["SampleFix: Learning to\u00a0Generate Functionally Diverse Fixes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6911-9390","authenticated-orcid":false,"given":"Hossein","family":"Hajipour","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3481-9546","authenticated-orcid":false,"given":"Apratim","family":"Bhattacharyya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6542-2226","authenticated-orcid":false,"given":"Cristian-Alexandru","family":"Staicu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8949-9896","authenticated-orcid":false,"given":"Mario","family":"Fritz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,2,18]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3212695","volume":"51","author":"M Allamanis","year":"2018","unstructured":"Allamanis, M., Barr, E.T., Devanbu, P., Sutton, C.: A survey of machine learning for big code and naturalness. ACM Comput. Surv. (CSUR) 51, 1\u201337 (2018)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"OOPSLA","key":"8_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3360585","volume":"3","author":"J Bader","year":"2019","unstructured":"Bader, J., Scott, A., Pradel, M., Chandra, S.: Getafix: learning to fix bugs automatically. Proc. ACM Program. Lang. 3(OOPSLA), 1\u201327 (2019)","journal-title":"Proc. ACM Program. Lang."},{"key":"8_CR3","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate (2015)"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Bhattacharyya, A., Schiele, B., Fritz, M.: Accurate and diverse sampling of sequences based on a \u201cbest of many\u201d sample objective. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00885"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Bowman, S.R., Vilnis, L., Vinyals, O., Dai, A.M., Jozefowicz, R., Bengio, S.: Generating sentences from a continuous space. In: SIGNLL Conference on Computational Natural Language Learning (CoNLL) (2016)","DOI":"10.18653\/v1\/K16-1002"},{"key":"8_CR6","unstructured":"Das, R., Ahmed, U.Z., Karkare, A., Gulwani, S.: Prutor: a system for tutoring CS1 and collecting student programs for analysis (2016)"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Deshpande, A., Aneja, J., Wang, L., Schwing, A.G., Forsyth, D.: Fast, diverse and accurate image captioning guided by part-of-speech. In: CVPR (2019)","DOI":"10.1109\/CVPR.2019.01095"},{"key":"8_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1007\/978-3-319-41540-6_21","volume-title":"Computer Aided Verification","author":"L D\u2019Antoni","year":"2016","unstructured":"D\u2019Antoni, L., Samanta, R., Singh, R.: Qlose: program repair with quantitative objectives. In: Chaudhuri, S., Farzan, A. (eds.) CAV 2016. LNCS, vol. 9780, pp. 383\u2013401. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-41540-6_21"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Gottschlich, J., et al.: The three pillars of machine programming. In: MAPL (2018)","DOI":"10.1145\/3211346.3211355"},{"issue":"12","key":"8_CR11","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/3318162","volume":"62","author":"CL Goues","year":"2019","unstructured":"Goues, C.L., Pradel, M., Roychoudhury, A.: Automated program repair. Commun. ACM 62(12), 56\u201365 (2019)","journal-title":"Commun. ACM"},{"key":"8_CR12","unstructured":"Gupta, R., Kanade, A., Shevade, S.: Deep reinforcement learning for programming language correction. In: AAAI (2019)"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Gupta, R.R., Pal, S., Kanade, A., Shevade, S.K.: DeepFix: fixing common C language errors by deep learning. In: AAAI (2017)","DOI":"10.1609\/aaai.v31i1.10742"},{"key":"8_CR14","unstructured":"Jang, E., Gu, S., Poole, B.: Categorical reparameterization with Gumbel-Softmax. In: ICLR (2017)"},{"key":"8_CR15","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: ICLR (2015)"},{"key":"8_CR16","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational Bayes. In: ICLR (2014)"},{"key":"8_CR17","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS (2012)"},{"key":"8_CR18","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1145\/2001269.2001295","volume":"54","author":"H Lee","year":"2011","unstructured":"Lee, H., Grosse, R., Ranganath, R., Ng, A.Y.: Unsupervised learning of hierarchical representations with convolutional deep belief networks. Commun. ACM 54, 95\u2013103 (2011)","journal-title":"Commun. ACM"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Li, Y., Wang, S., Nguyen, T.N.: DLFix: context-based code transformation learning for automated program repair. In: International Conference on Software Engineering (ICSE) (2020)","DOI":"10.1145\/3377811.3380345"},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Long, F., Rinard, M.: Automatic patch generation by learning correct code. In: ACM SIGPLAN Notices (2016)","DOI":"10.1145\/2837614.2837617"},{"key":"8_CR21","unstructured":"Maddison, C.J., Mnih, A., Teh, Y.W.: The concrete distribution: a continuous relaxation of discrete random variables (2016)"},{"key":"8_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3105906","volume":"51","author":"M Monperrus","year":"2018","unstructured":"Monperrus, M.: Automatic software repair: a bibliography. ACM Comput. Surv. (CSUR) 51, 1\u201324 (2018)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"8_CR23","doi-asserted-by":"crossref","unstructured":"Pu, Y., Narasimhan, K., Solar-Lezama, A., Barzilay, R.: sk_p: a neural program corrector for MOOCs. In: ACM SIGPLAN (2016)","DOI":"10.1145\/2984043.2989222"},{"key":"8_CR24","unstructured":"Rezende, D.J., Mohamed, S.: Variational inference with normalizing flows. In: ICML (2015)"},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Seo, H., Sadowski, C., Elbaum, S., Aftandilian, E., Bowdidge, R.: Programmers\u2019 build errors: a case study (at google). In: ICSE (2014)","DOI":"10.1145\/2568225.2568255"},{"key":"8_CR26","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2015)"},{"key":"8_CR27","doi-asserted-by":"crossref","unstructured":"Singh, R., Gulwani, S., Solar-Lezama, A.: Automated feedback generation for introductory programming assignments. In: PLDI (2013)","DOI":"10.1145\/2491956.2462195"},{"key":"8_CR28","doi-asserted-by":"crossref","unstructured":"Smith, E.K., Barr, E.T., Goues, C.L., Brun, Y.: Is the cure worse than the disease? Overfitting in automated program repair. In: Foundations of Software Engineering (ESEC\/FSE) (2015)","DOI":"10.1145\/2786805.2786825"},{"key":"8_CR29","unstructured":"Sohn, K., Lee, H., Yan, X.: Learning structured output representation using deep conditional generative models. In: NIPS (2015)"},{"key":"8_CR30","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: NIPS (2014)"},{"key":"8_CR31","unstructured":"Wang, L., Schwing, A., Lazebnik, S.: Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space. In: NIPS (2017)"},{"key":"8_CR32","unstructured":"Yasunaga, M., Liang, P.: Graph-based, self-supervised program repair from diagnostic feedback. In: ICML (2020)"}],"container-title":["Communications in Computer and Information Science","Machine Learning and Principles and Practice of Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93733-1_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T09:13:36Z","timestamp":1674810816000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93733-1_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030937324","9783030937331"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93733-1_8","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"18 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bilbao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2021.ecmlpkdd.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":"869","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":"210","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":"0","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":"24% - 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":"3-4","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":"3-9","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held online due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}