{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T12:59:45Z","timestamp":1770814785124,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3551349.3556909","type":"proceedings-article","created":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T20:43:54Z","timestamp":1672951434000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Low-Resources Project-Specific Code Summarization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1756-7746","authenticated-orcid":false,"given":"Rui","family":"Xie","sequence":"first","affiliation":[{"name":"Peking University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8576-2674","authenticated-orcid":false,"given":"Tianxiang","family":"Hu","sequence":"additional","affiliation":[{"name":"Peking University, China"}]},{"given":"Wei","family":"Ye","sequence":"additional","affiliation":[{"name":"Peking University, China"}]},{"given":"Shikun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Peking University, China"}]}],"member":"320","published-online":{"date-parts":[[2023,1,5]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.449"},{"key":"e_1_3_2_1_2_1","volume-title":"Project-Level Encoding for Neural Source Code Summarization of Subroutines. In 29th IEEE\/ACM International Conference on Program Comprehension, ICPC 2021","author":"Bansal Aakash","year":"2021","unstructured":"Aakash Bansal, Sakib Haque, and Collin McMillan. 2021. Project-Level Encoding for Neural Source Code Summarization of Subroutines. In 29th IEEE\/ACM International Conference on Program Comprehension, ICPC 2021, Madrid, Spain, May 20-21, 2021. IEEE, 253\u2013264."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPC52881.2021.00032"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3240471"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17503"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning, ICML 2017","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. In Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017(Proceedings of Machine Learning Research, Vol.\u00a070), Doina Precup and Yee\u00a0Whye Teh (Eds.). PMLR, 1126\u20131135."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning, ICML 2017","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. In Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017(Proceedings of Machine Learning Research, Vol.\u00a070), Doina Precup and Yee\u00a0Whye Teh (Eds.). PMLR, 1126\u20131135. http:\/\/proceedings.mlr.press\/v70\/finn17a.html"},{"key":"e_1_3_2_1_8_1","volume-title":"Vol.\u00a02","author":"Haiduc Sonia","unstructured":"Sonia Haiduc, Jairo Aponte, and Andrian Marcus. 2010. Supporting program comprehension with source code summarization. In 2010 acm\/ieee 32nd international conference on software engineering, Vol.\u00a02. IEEE, 223\u2013226."},{"key":"e_1_3_2_1_9_1","unstructured":"Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick and Graham Neubig. 2021. Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR abs\/2110.04366(2021)."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning, ICML 2019","author":"Houlsby Neil","year":"2019","unstructured":"Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019. Parameter-Efficient Transfer Learning for NLP. In Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA(Proceedings of Machine Learning Research, Vol.\u00a097). PMLR, 2790\u20132799."},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning, ICML 2019","author":"Houlsby Neil","year":"2019","unstructured":"Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019. Parameter-Efficient Transfer Learning for NLP. In Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA(Proceedings of Machine Learning Research, Vol.\u00a097), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 2790\u20132799. http:\/\/proceedings.mlr.press\/v97\/houlsby19a.html"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","unstructured":"Srinivasan Iyer Ioannis Konstas Alvin Cheung and Luke Zettlemoyer. 2016. Summarizing Source Code using a Neural Attention Model. 2073\u20132083. https:\/\/doi.org\/10.18653\/v1\/P16-1195","DOI":"10.18653\/v1\/P16-1195"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Alexander Leclair Siyuan Jiang and Collin Mcmillan. 2019. A Neural Model for Generating Natural Language Summaries of Program Subroutines. (2019).","DOI":"10.1109\/ICSE.2019.00087"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1394"},{"key":"e_1_3_2_1_15_1","volume-title":"EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. In 36th IEEE\/ACM International Conference on Automated Software Engineering, ASE 2021","author":"Li Jia","year":"2021","unstructured":"Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, and Zhi Jin. 2021. EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. In 36th IEEE\/ACM International Conference on Automated Software Engineering, ASE 2021, Melbourne, Australia, November 15-19, 2021. IEEE, 155\u2013166."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.353"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.353"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPC52881.2021.00026"},{"key":"e_1_3_2_1_19_1","volume-title":"ProceedingsofWorkshop on Text Summarization Branches Out, Post2Conference Workshop of ACL.","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. ROUGE: A Packagefor Automatic Evaluation of Summaries. In ProceedingsofWorkshop on Text Summarization Branches Out, Post2Conference Workshop of ACL."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-016-1671-1"},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics","author":"Papineni Kishore","year":"2002","unstructured":"Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a Method for Automatic Evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, July 6-12, 2002, Philadelphia, PA, USA.311\u2013318."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning, ICML 2019","author":"Stickland Asa\u00a0Cooper","year":"2019","unstructured":"Asa\u00a0Cooper Stickland and Iain Murray. 2019. BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning. In Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA(Proceedings of Machine Learning Research, Vol.\u00a097), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 5986\u20135995. http:\/\/proceedings.mlr.press\/v97\/stickland19a.html"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00049"},{"key":"e_1_3_2_1_24_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. arXiv preprint arXiv:1706.03762(2017)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238206"},{"key":"e_1_3_2_1_26_1","volume-title":"Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019","author":"Wei Bolin","year":"2019","unstructured":"Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, and Zhi Jin. 2019. Code Generation as a Dual Task of Code Summarization. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. 6559\u20136569."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPC52881.2021.00010"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Wei Ye Rui Xie Jinglei Zhang Tianxiang Hu Xiaoyin Wang and Shikun Zhang. 2020. Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. CoRR abs\/2002.10198(2020). arxiv:2002.10198","DOI":"10.1145\/3366423.3380295"},{"key":"e_1_3_2_1_29_1","volume-title":"42nd International Conference on Software Engineering","author":"Zhang Jian","year":"2020","unstructured":"Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, and Xudong Liu. 2020. Retrieval-based neural source code summarization. In ICSE \u201920: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June - 19 July, 2020, Gregg Rothermel and Doo-Hwan Bae (Eds.). ACM, 1385\u20131397."},{"key":"e_1_3_2_1_30_1","first-page":"11328","article-title":"PEGASUS","volume":"2020","author":"Zhang Jingqing","year":"2020","unstructured":"Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter\u00a0J. Liu. 2020. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. In ICML 2020. 11328\u201311339.","journal-title":"Pre-training with Extracted Gap-sentences for Abstractive Summarization. In ICML"}],"event":{"name":"ASE '22: 37th IEEE\/ACM International Conference on Automated Software Engineering","location":"Rochester MI USA","acronym":"ASE '22"},"container-title":["Proceedings of the 37th IEEE\/ACM International Conference on Automated Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3551349.3556909","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3551349.3556909","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T08:25:37Z","timestamp":1755851137000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3551349.3556909"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":30,"alternative-id":["10.1145\/3551349.3556909","10.1145\/3551349"],"URL":"https:\/\/doi.org\/10.1145\/3551349.3556909","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2023-01-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}