{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T18:48:50Z","timestamp":1773773330605,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":63,"publisher":"ACM","funder":[{"name":"the National Key Research and Development Program of China","award":["No.2023YFB4503803"],"award-info":[{"award-number":["No.2023YFB4503803"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,20]]},"DOI":"10.1145\/3755881.3755897","type":"proceedings-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T11:46:17Z","timestamp":1761565577000},"page":"59-70","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Issue Retrieval and Verification Enhanced Supplementary Code Comment Generation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-1764-6645","authenticated-orcid":false,"given":"Yanzhen","family":"Zou","sequence":"first","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education; School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1471-7685","authenticated-orcid":false,"given":"Xianlin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education; School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7844-6047","authenticated-orcid":false,"given":"Xinglu","family":"Pan","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education; School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2988-2575","authenticated-orcid":false,"given":"Bing","family":"Xie","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education; School of Computer Science, Peking University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","unstructured":"Xinglu Pan Chenxiao Liu Yanzhen Zou Tao Xie and Bing Xie. 2024. MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation. arXiv e-prints Article arXiv:2403.17357 (March 2024) arXiv:2403.17357\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2403.17357\u00a0[cs.SE] 10.48550\/arXiv.2403.17357","DOI":"10.48550\/arXiv.2403.17357"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510152"},{"key":"e_1_3_3_2_4_2","first-page":"95","volume-title":"A Philosophy of Software Design","author":"Ousterhout John","year":"2018","unstructured":"John Ousterhout. 2018. Comments Should Describe Things that Aren\u2019t Obvious from the Code. In A Philosophy of Software Design. Chapter\u00a013, 95\u2013116."},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/1085313.1085331"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/APSEC.2018.00082"},{"key":"e_1_3_3_2_7_2","unstructured":"[n. d.]. Camel. https:\/\/camel.apache.org\/."},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1195"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3196321.3196334"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Wasi\u00a0Uddin Ahmad Saikat Chakraborty Baishakhi Ray and Kai-Wei Chang. 2020. A transformer-based approach for source code summarization. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2005.00653 (2020).","DOI":"10.18653\/v1\/2020.acl-main.449"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238206"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380383"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3324884.3416578"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASE51524.2021.9678882"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASE51524.2021.9678724"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2019.00087"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSME58944.2024.00040"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3551349.3559548"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"Weisong Sun Chunrong Fang Yudu You Yun Miao Yi Liu Yuekang Li Gelei Deng Shenghan Huang Yuchen Chen Quanjun Zhang Hanwei Qian Yang Liu and Zhenyu Chen. 2023. Automatic Code Summarization via ChatGPT: How Far Are We? arXiv e-prints Article arXiv:2305.12865 (May 2023) arXiv:2305.12865\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2305.12865\u00a0[cs.SE] 10.48550\/arXiv.2305.12865","DOI":"10.48550\/arXiv.2305.12865"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3551349.3559555"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3608134"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3639183"},{"key":"e_1_3_3_2_23_2","first-page":"3043","volume-title":"Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, UAE, January 19-24, 2025","author":"Cao Liuwen","year":"2025","unstructured":"Liuwen Cao, Hongkui He, Hailin Huang, Jiexin Wang, and Yi Cai. 2025. Rethinking-based Code Summarization with Chain of Comments. In Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, UAE, January 19-24, 2025, Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara\u00a0Di Eugenio, and Steven Schockaert (Eds.). Association for Computational Linguistics, 3043\u20133056. https:\/\/aclanthology.org\/2025.coling-main.204\/"},{"key":"e_1_3_3_2_24_2","first-page":"866","volume-title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024 - Industry Track, Miami, Florida, USA, November 12-16, 2024","author":"Lomshakov Vadim","year":"2024","unstructured":"Vadim Lomshakov, Andrey Podivilov, Sergey Savin, Oleg Baryshnikov, Alena Lisevych, and Sergey\u00a0I. Nikolenko. 2024. ProConSuL: Project Context for Code Summarization with LLMs. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024 - Industry Track, Miami, Florida, USA, November 12-16, 2024, Franck Dernoncourt, Daniel Preotiuc-Pietro, and Anastasia Shimorina (Eds.). Association for Computational Linguistics, 866\u2013880. https:\/\/aclanthology.org\/2024.emnlp-industry.65"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","unstructured":"Xiao Pu Mingqi Gao and Xiaojun Wan. 2023. Summarization is (Almost) Dead. arXiv e-prints Article arXiv:2309.09558 (Sept. 2023) arXiv:2309.09558\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2309.09558\u00a0[cs.CL] 10.48550\/arXiv.2309.09558","DOI":"10.48550\/arXiv.2309.09558"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","unstructured":"Chong Wang Xin Peng Zhenchang Xing and Xiujie Meng. 2023. Beyond Literal Meaning: Uncover and Explain Implicit Knowledge in Code Through Wikipedia-Based Concept Linking. IEEE Transactions on Software Engineering 49 5 (2023) 3226\u20133240. 10.1109\/TSE.2023.3250029","DOI":"10.1109\/TSE.2023.3250029"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"crossref","unstructured":"Deeksha\u00a0M. Arya Wenting Wang Jin L.\u00a0C. Guo and Jinghui Cheng. 2019. Analysis and Detection of Information Types of Open Source Software Issue Discussions. 2019 IEEE\/ACM 41st International Conference on Software Engineering (ICSE) (2019) 454\u2013464. https:\/\/api.semanticscholar.org\/CorpusID:67749627","DOI":"10.1109\/ICSE.2019.00058"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASE51524.2021.9678864"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","unstructured":"Yunfan Gao Yun Xiong Xinyu Gao Kangxiang Jia Jinliu Pan Yuxi Bi Yi Dai Jiawei Sun Meng Wang and Haofen Wang. 2023. Retrieval-Augmented Generation for Large Language Models: A Survey. arXiv e-prints Article arXiv:2312.10997 (Dec. 2023) arXiv:2312.10997\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2312.10997\u00a0[cs.CL] 10.48550\/arXiv.2312.10997","DOI":"10.48550\/arXiv.2312.10997"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0M Towhidul Islam Tonmoy S\u00a0M Mehedi Zaman Vinija Jain Anku Rani Vipula Rawte Aman Chadha and Amitava Das. 2024. A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models. arXiv e-prints Article arXiv:2401.01313 (Jan. 2024) arXiv:2401.01313\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2401.01313\u00a0[cs.CL] 10.48550\/arXiv.2401.01313","DOI":"10.48550\/arXiv.2401.01313"},{"key":"e_1_3_3_2_31_2","unstructured":"[n. d.]. Apache. https:\/\/apache.org\/."},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPC.2019.00019"},{"key":"e_1_3_3_2_33_2","unstructured":"[n. d.]. JGit. https:\/\/eclipse.dev\/jgit\/."},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","unstructured":"Walid Maalej and Martin\u00a0P. Robillard. 2013. Patterns of Knowledge in API Reference Documentation. IEEE Transactions on Software Engineering 39 9 (2013) 1264\u20131282. 10.1109\/TSE.2013.12","DOI":"10.1109\/TSE.2013.12"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","unstructured":"Qiuyuan Chen Xin Xia Han Hu David Lo and Shanping Li. 2021. Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction. ACM Trans. Softw. Eng. Methodol. 30 2 Article 25 (feb 2021) 29\u00a0pages. 10.1145\/3434280","DOI":"10.1145\/3434280"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"publisher","unstructured":"Fangwen Mu Xiao Chen Lin Shi Song Wang and Qing Wang. 2023. Developer-Intent Driven Code Comment Generation. arXiv e-prints Article arXiv:2302.07055 (Feb. 2023) arXiv:2302.07055\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2302.07055\u00a0[cs.SE] 10.48550\/arXiv.2302.07055","DOI":"10.48550\/arXiv.2302.07055"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","unstructured":"Mingyang Geng Shangwen Wang Dezun Dong Haotian Wang Ge Li Zhi Jin Xiaoguang Mao and Xiangke Liao. 2023. Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. arXiv e-prints Article arXiv:2304.11384 (April 2023) arXiv:2304.11384\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2304.11384\u00a0[cs.SE] 10.48550\/arXiv.2304.11384","DOI":"10.48550\/arXiv.2304.11384"},{"key":"e_1_3_3_2_38_2","unstructured":"[n. d.]. TF-IDF. https:\/\/en.wikipedia.org\/wiki\/Tf\u2013idf."},{"key":"e_1_3_3_2_39_2","unstructured":"[n. d.]. DPR. https:\/\/huggingface.co\/facebook\/dpr-ctx_encoder-single-nq-base."},{"key":"e_1_3_3_2_40_2","unstructured":"[n. d.]. distilroberta. https:\/\/huggingface.co\/flax-sentence-embeddings\/st-codesearch-distilroberta-base."},{"key":"e_1_3_3_2_41_2","unstructured":"[n. d.]. Appendix. https:\/\/github.com\/Iscomment\/IsComment\/blob\/main\/Appendix.pdf."},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3639174"},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"publisher","unstructured":"Nils Reimers and Iryna Gurevych. 2019. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. arXiv e-prints Article arXiv:1908.10084 (Aug. 2019) arXiv:1908.10084\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/1908.10084\u00a0[cs.CL] 10.48550\/arXiv.1908.10084","DOI":"10.48550\/arXiv.1908.10084"},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3524610.3527909"},{"key":"e_1_3_3_2_45_2","unstructured":"[n. d.]. TL-CodeSum. https:\/\/github.com\/xing-hu\/TL-CodeSum."},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.139"},{"key":"e_1_3_3_2_47_2","unstructured":"[n. d.]. CodeSearchNet. https:\/\/github.com\/github\/CodeSearchNet."},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.685"},{"key":"e_1_3_3_2_49_2","unstructured":"[n. d.]. gpt-3.5-turbo. https:\/\/platform.openai.com\/docs\/models\/gpt-3.5-turbo."},{"key":"e_1_3_3_2_50_2","unstructured":"[n. d.]. gpt-4o. https:\/\/platform.openai.com\/docs\/models\/gpt-4o."},{"key":"e_1_3_3_2_51_2","unstructured":"DeepSeek-AI. 2024. DeepSeek-V3 Technical Report. arxiv:https:\/\/arXiv.org\/abs\/2412.19437\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2412.19437"},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510060"},{"key":"e_1_3_3_2_53_2","first-page":"311","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. 311\u2013318."},{"key":"e_1_3_3_2_54_2","unstructured":"Yang Wu Yao Wan Zhaoyang Chu Wenting Zhao Ye Liu Hongyu Zhang Xuanhua Shi and Philip\u00a0S Yu. 2024. Can Large Language Models Serve as Evaluators for Code Summarization? arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2412.01333 (2024)."},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"publisher","unstructured":"Mingqi Gao Jie Ruan Renliang Sun Xunjian Yin Shiping Yang and Xiaojun Wan. 2023. Human-like Summarization Evaluation with ChatGPT. arXiv e-prints Article arXiv:2304.02554 (April 2023) arXiv:2304.02554\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2304.02554\u00a0[cs.CL] 10.48550\/arXiv.2304.02554","DOI":"10.48550\/arXiv.2304.02554"},{"key":"e_1_3_3_2_56_2","doi-asserted-by":"publisher","unstructured":"Weisong Sun Yun Miao Yuekang Li Hongyu Zhang Chunrong Fang Yi Liu Gelei Deng Yang Liu and Zhenyu Chen. 2024. Source Code Summarization in the Era of Large Language Models. arXiv e-prints Article arXiv:2407.07959 (July 2024) arXiv:2407.07959\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2407.07959\u00a0[cs.SE] 10.48550\/arXiv.2407.07959","DOI":"10.48550\/arXiv.2407.07959"},{"key":"e_1_3_3_2_57_2","doi-asserted-by":"publisher","unstructured":"Sarah Rastkar Gail\u00a0C. Murphy and Gabriel Murray. 2014. Automatic Summarization of Bug Reports. IEEE Transactions on Software Engineering 40 4 (2014) 366\u2013380. 10.1109\/TSE.2013.2297712","DOI":"10.1109\/TSE.2013.2297712"},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"publisher","unstructured":"Saskia Gilmer Avinash Bhat Shuvam Shah Kevin Cherry Jinghui Cheng and Jin L.\u00a0C. Guo. 2023. SUMMIT: Scaffolding OSS Issue Discussion Through Summarization. arXiv e-prints Article arXiv:2308.02780 (Aug. 2023) arXiv:2308.02780\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2308.02780\u00a0[cs.HC] 10.48550\/arXiv.2308.02780","DOI":"10.48550\/arXiv.2308.02780"},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSME58846.2023.00042"},{"key":"e_1_3_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPC.2012.6240510"},{"key":"e_1_3_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-long.305"},{"key":"e_1_3_3_2_62_2","first-page":"8211","volume-title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024","author":"Sun Hao","year":"2024","unstructured":"Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, and Dawei Yin. 2024. Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen (Eds.). Association for Computational Linguistics, 8211\u20138227. https:\/\/aclanthology.org\/2024.emnlp-main.469"},{"key":"e_1_3_3_2_63_2","doi-asserted-by":"publisher","unstructured":"Lucas Torroba Hennigen Shannon Shen Aniruddha Nrusimha Bernhard Gapp David Sontag and Yoon Kim. 2023. Towards Verifiable Text Generation with Symbolic References. arXiv e-prints Article arXiv:2311.09188 (Nov. 2023) arXiv:2311.09188\u00a0pages. arxiv:https:\/\/arXiv.org\/abs\/2311.09188\u00a0[cs.CL] 10.48550\/arXiv.2311.09188","DOI":"10.48550\/arXiv.2311.09188"},{"key":"e_1_3_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2024.FINDINGS-ACL.920"}],"event":{"name":"Internetware 2025: the 16th International Conference on Internetware","location":"Trondheim Norway","acronym":"Internetware 2025","sponsor":["SIGSOFT ACM Special Interest Group on Artificial Intelligence"]},"container-title":["Proceedings of the 16th International Conference on Internetware"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3755881.3755897","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T11:54:00Z","timestamp":1761566040000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3755881.3755897"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,20]]},"references-count":63,"alternative-id":["10.1145\/3755881.3755897","10.1145\/3755881"],"URL":"https:\/\/doi.org\/10.1145\/3755881.3755897","relation":{},"subject":[],"published":{"date-parts":[[2025,6,20]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}