{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T02:12:54Z","timestamp":1768270374060,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":60,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272249"],"award-info":[{"award-number":["62272249"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302244"],"award-info":[{"award-number":["62302244"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["XXX-63253249"],"award-info":[{"award-number":["XXX-63253249"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,23]]},"DOI":"10.1145\/3696630.3728547","type":"proceedings-article","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T19:08:09Z","timestamp":1753729689000},"page":"215-226","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["LLM-Augmented Ticket Aggregation for Low-cost Mobile OS Defect Resolution"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0266-7899","authenticated-orcid":false,"given":"Yongqian","family":"Sun","sequence":"first","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3523-4346","authenticated-orcid":false,"given":"Bowen","family":"Hao","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9641-689X","authenticated-orcid":false,"given":"Xiaotian","family":"Wang","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1699-4206","authenticated-orcid":false,"given":"Chenyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6603-3539","authenticated-orcid":false,"given":"Yongxin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2513-5635","authenticated-orcid":false,"given":"Binpeng","family":"Shi","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0330-0028","authenticated-orcid":false,"given":"Shenglin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7304-8447","authenticated-orcid":false,"given":"Qiao","family":"Ge","sequence":"additional","affiliation":[{"name":"Huawei Inc., Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5338-4178","authenticated-orcid":false,"given":"Wenhu","family":"Li","sequence":"additional","affiliation":[{"name":"Huawei Inc., Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6313-4801","authenticated-orcid":false,"given":"Hua","family":"Wei","sequence":"additional","affiliation":[{"name":"Huawei Inc., Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5113-838X","authenticated-orcid":false,"given":"Dan","family":"Pei","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,7,28]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Bradley Brown Jordan Juravsky Ryan Ehrlich Ronald Clark Quoc V. Le Christopher R\u00e9 and Azalia Mirhoseini. 2024. Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. arXiv:2407.21787 [cs.LG]"},{"key":"e_1_3_2_1_2_1","unstructured":"Zheng Cai Maosong Cao Haojiong Chen Kai Chen Keyu Chen Xin Chen Xun Chen Zehui Chen Zhi Chen Pei Chu et al. 2024. Internlm2 technical report. arXiv preprint arXiv:2403.17297 (2024)."},{"key":"e_1_3_2_1_3_1","volume-title":"An Empirical Investigation of Incident Triage for Online Service Systems. In 2019 IEEE\/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). 111\u2013120","author":"Chen Junjie","year":"2019","unstructured":"Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, and Dongmei Zhang. 2019. An Empirical Investigation of Incident Triage for Online Service Systems. In 2019 IEEE\/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). 111\u2013120."},{"key":"e_1_3_2_1_4_1","volume-title":"2019 IEEE\/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). IEEE, 111\u2013120","author":"Chen Junjie","year":"2019","unstructured":"Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, and Dongmei Zhang. 2019. An empirical investigation of incident triage for online service systems. In 2019 IEEE\/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). IEEE, 111\u2013120."},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 44th International Conference on Software Engineering. 1646\u20131657","author":"Chen Jia","year":"2022","unstructured":"Jia Chen, Peng Wang, and Wei Wang. 2022. Online summarizing alerts through semantic and behavior information. In Proceedings of the 44th International Conference on Software Engineering. 1646\u20131657."},{"key":"e_1_3_2_1_6_1","volume-title":"ChatUniTest: A Framework for LLM-Based Test Generation. In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering (Porto de Galinhas, Brazil) (FSE","author":"Chen Yinghao","year":"2024","unstructured":"Yinghao Chen, Zehao Hu, Chen Zhi, Junxiao Han, Shuiguang Deng, and Jianwei Yin. 2024. ChatUniTest: A Framework for LLM-Based Test Generation. In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering (Porto de Galinhas, Brazil) (FSE 2024). Association for Computing Machinery, New York, NY, USA, 572\u2013576."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the Nineteenth European Conference on Computer Systems. 674\u2013688","author":"Chen Yinfang","year":"2024","unstructured":"Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, et al. 2024. Automatic root cause analysis via large language models for cloud incidents. In Proceedings of the Nineteenth European Conference on Computer Systems. 674\u2013688."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 28th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering. 304\u2013314","author":"Chen Yujun","year":"2020","unstructured":"Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, et al. 2020. Identifying linked incidents in large-scale online service systems. In Proceedings of the 28th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering. 304\u2013314."},{"key":"e_1_3_2_1_9_1","volume-title":"2021 36th IEEE\/ACM International Conference on Automated Software Engineering (ASE). IEEE, 430\u2013442","author":"Chen Zhuangbin","year":"2021","unstructured":"Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, and Michael R Lyu. 2021. Graph-based incident aggregation for large-scale online service systems. In 2021 36th IEEE\/ACM International Conference on Automated Software Engineering (ASE). IEEE, 430\u2013442."},{"key":"e_1_3_2_1_10_1","unstructured":"Qingxiu Dong Lei Li Damai Dai Ce Zheng Jingyuan Ma Rui Li Heming Xia Jingjing Xu Zhiyong Wu Tianyu Liu et al. 2022. A survey on in-context learning. arXiv preprint arXiv:2301.00234 (2022)."},{"key":"e_1_3_2_1_11_1","unstructured":"Martin Ester Hans-Peter Kriegel J\u00f6rg Sander Xiaowei Xu et al. 1996. A density-based algorithm for discovering clusters in large spatial databases with noise. In kdd Vol. 96. 226\u2013231."},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 6491\u20136501","author":"Fan Wenqi","year":"2024","unstructured":"Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, and Qing Li. 2024. A survey on rag meeting llms: Towards retrieval-augmented large language models. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 6491\u20136501."},{"key":"e_1_3_2_1_13_1","volume-title":"Search-Based LLMs for Code Optimization. arXiv preprint arXiv:2408.12159","author":"Gao Shuzheng","year":"2024","unstructured":"Shuzheng Gao, Cuiyun Gao, Wenchao Gu, and Michael Lyu. 2024. Search-Based LLMs for Code Optimization. arXiv preprint arXiv:2408.12159 (2024)."},{"key":"e_1_3_2_1_14_1","volume-title":"2023 38th IEEE\/ACM International Conference on Automated Software Engineering (ASE). IEEE, 761\u2013773","author":"Gao Shuzheng","year":"2023","unstructured":"Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, and Michael R Lyu. 2023. What makes good in-context demonstrations for code intelligence tasks with llms?. In 2023 38th IEEE\/ACM International Conference on Automated Software Engineering (ASE). IEEE, 761\u2013773."},{"key":"e_1_3_2_1_15_1","unstructured":"Yunfan Gao Yun Xiong Xinyu Gao Kangxiang Jia Jinliu Pan Yuxi Bi Yi Dai Jiawei Sun Meng Wang and Haofen Wang. 2024. Retrieval-Augmented Generation for Large Language Models: A Survey. arXiv:2312.10997 [cs.CL]"},{"key":"e_1_3_2_1_16_1","unstructured":"Team GLM Aohan Zeng Bin Xu Bowen Wang Chenhui Zhang Da Yin Diego Rojas Guanyu Feng Hanlin Zhao Hanyu Lai Hao Yu Hongning Wang Jiadai Sun Jiajie Zhang Jiale Cheng Jiayi Gui Jie Tang Jing Zhang Juanzi Li Lei Zhao Lindong Wu Lucen Zhong Mingdao Liu Minlie Huang Peng Zhang Qinkai Zheng Rui Lu Shuaiqi Duan Shudan Zhang Shulin Cao Shuxun Yang Weng Lam Tam Wenyi Zhao Xiao Liu Xiao Xia Xiaohan Zhang Xiaotao Gu Xin Lv Xinghan Liu Xinyi Liu Xinyue Yang Xixuan Song Xunkai Zhang Yifan An Yifan Xu Yilin Niu Yuantao Yang Yueyan Li Yushi Bai Yuxiao Dong Zehan Qi Zhaoyu Wang Zhen Yang Zhengxiao Du Zhenyu Hou and Zihan Wang. 2024. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. arXiv:2406.12793"},{"key":"e_1_3_2_1_17_1","volume-title":"The State of Mobile Internet Connectivity","author":"GSMA.","year":"2023","unstructured":"GSMA. 2023. The State of Mobile Internet Connectivity 2023. https:\/\/www.gsma.com\/r\/wp-content\/uploads\/2023\/10\/The-State-of-Mobile-Internet-Connectivity-Report-2023.pdf. Accessed: 2024-11-22."},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 1296\u20131307","author":"Gu Jiazhen","year":"2020","unstructured":"Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, et al. 2020. Efficient customer incident triage via linking with system incidents. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 1296\u20131307."},{"key":"e_1_3_2_1_19_1","unstructured":"Edward J. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang and Weizhu Chen. 2021. LoRA: Low-Rank Adaptation of Large Language Models. arXiv:2106.09685 [cs.CL]"},{"key":"e_1_3_2_1_20_1","volume-title":"ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. arXiv preprint arXiv:2406.07174","author":"Huang Junjie","year":"2024","unstructured":"Junjie Huang, Zhihan Jiang, Zhuangbin Chen, and Michael R Lyu. 2024. ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. arXiv preprint arXiv:2406.07174 (2024)."},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. 392\u2013404","author":"Huang Junjie","year":"2024","unstructured":"Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, and Michael R Lyu. 2024. FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. In Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. 392\u2013404."},{"key":"e_1_3_2_1_22_1","unstructured":"INTSIG. 2024. acge_text_embedding. https:\/\/huggingface.co\/aspire\/acge_text_embedding Accessed: 2024-12-28."},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the IEEE\/ACM 46th International Conference on Software Engineering. 1\u201313","author":"Jiang Yuxuan","year":"2024","unstructured":"Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, et al. 2024. Xpert: Empowering incident management with query recommendations via large language models. In Proceedings of the IEEE\/ACM 46th International Conference on Software Engineering. 1\u201313."},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the ACM on Software Engineering 1, FSE","author":"Jiang Zhihan","year":"2024","unstructured":"Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, and Michael R Lyu. 2024. Lilac: Log parsing using llms with adaptive parsing cache. Proceedings of the ACM on Software Engineering 1, FSE (2024), 137\u2013160."},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 1657\u20131668","author":"Jin Pengxiang","year":"2023","unstructured":"Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, et al. 2023. Assess and summarize: Improve outage understanding with large language models. In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 1657\u20131668."},{"key":"e_1_3_2_1_26_1","unstructured":"Mateja Kocbek and Marjan Hericko. 2013. Beta Testing of a Mobile Application: A Case Study.. In SQAMIA. Citeseer 29\u201334."},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. 369\u2013380","author":"Kuang Jinxi","year":"2024","unstructured":"Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, and Michael R Lyu. 2024. Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. In Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. 369\u2013380."},{"key":"e_1_3_2_1_28_1","volume-title":"2021 USENIX Annual Technical Conference (USENIX ATC 21)","author":"Li Liqun","year":"2021","unstructured":"Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, et al. 2021. Fighting the fog of war: Automated incident detection for cloud systems. In 2021 USENIX Annual Technical Conference (USENIX ATC 21). 131\u2013146."},{"key":"e_1_3_2_1_29_1","volume-title":"Conan-embedding: General Text Embedding with More and Better Negative Samples. arXiv:2408.15710 [cs.CL]","author":"Li Shiyu","year":"2024","unstructured":"Shiyu Li, Yang Tang, Shizhe Chen, and Xi Chen. 2024. Conan-embedding: General Text Embedding with More and Better Negative Samples. arXiv:2408.15710 [cs.CL]"},{"key":"e_1_3_2_1_30_1","volume-title":"Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study","author":"Li Yichen","year":"2024","unstructured":"Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Lionel C Briand, and Michael R Lyu. 2024. Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study. IEEE Transactions on Software Engineering (2024)."},{"key":"e_1_3_2_1_31_1","volume-title":"Proceedings of the ACM on Software Engineering 1, FSE","author":"Li Yichen","year":"2024","unstructured":"Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, and Michael R Lyu. 2024. Go static: Contextualized logging statement generation. Proceedings of the ACM on Software Engineering 1, FSE (2024), 609\u2013630."},{"key":"e_1_3_2_1_32_1","volume-title":"2023 IEEE\/ACM 45th International Conference on Software Engineering (ICSE). IEEE, 2299\u20132311","author":"Liu Jinyang","year":"2023","unstructured":"Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, et al. 2023. Incident-aware duplicate ticket aggregation for cloud systems. In 2023 IEEE\/ACM 45th International Conference on Software Engineering (ICSE). IEEE, 2299\u20132311."},{"key":"e_1_3_2_1_33_1","volume-title":"Yuyao Wang, and Lingming Zhang.","author":"Liu Jiawei","year":"2024","unstructured":"Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang. 2024. Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_1_34_1","volume-title":"Proceedings of the 2024 IEEE\/ACM 46th International Conference on Software Engineering: Companion Proceedings","author":"Liu Yilun","year":"2024","unstructured":"Yilun Liu, Shimin Tao, Weibin Meng, Feiyu Yao, Xiaofeng Zhao, and Hao Yang. 2024. LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis. In Proceedings of the 2024 IEEE\/ACM 46th International Conference on Software Engineering: Companion Proceedings (Lisbon, Portugal) (ICSE-Companion '24). Association for Computing Machinery, New York, NY, USA, 364\u2013365."},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the IEEE\/ACM 46th International Conference on Software Engineering. 1\u201313","author":"Liu Zhe","year":"2024","unstructured":"Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, and Qing Wang. 2024. Make llm a testing expert: Bringing human-like interaction to mobile gui testing via functionality-aware decisions. In Proceedings of the IEEE\/ACM 46th International Conference on Software Engineering. 1\u201313."},{"key":"e_1_3_2_1_36_1","volume-title":"MTEB: Massive Text Embedding Benchmark. arXiv preprint arXiv:2210.07316","author":"Muennighoff Niklas","year":"2022","unstructured":"Niklas Muennighoff, Nouamane Tazi, Lo\u00efc Magne, and Nils Reimers. 2022. MTEB: Massive Text Embedding Benchmark. arXiv preprint arXiv:2210.07316 (2022)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/TSE.2022.3144348","article-title":"DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction","volume":"49","author":"Pornprasit Chanathip","year":"2023","unstructured":"Chanathip Pornprasit and Chakkrit Kla Tantithamthavorn. 2023. DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction. IEEE Transactions on Software Engineering 49, 1 (2023), 84\u201398.","journal-title":"IEEE Transactions on Software Engineering"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","article-title":"Objective criteria for the evaluation of clustering methods","volume":"66","author":"Rand William M","year":"1971","unstructured":"William M Rand. 1971. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical association 66, 336 (1971), 846\u2013850.","journal-title":"Journal of the American Statistical association"},{"key":"e_1_3_2_1_39_1","volume-title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. arXiv preprint arXiv:1908.10084","author":"Reimers N","year":"2019","unstructured":"N Reimers. 2019. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. arXiv preprint arXiv:1908.10084 (2019)."},{"key":"e_1_3_2_1_40_1","volume-title":"Shachee Mishra Gupta, et al","author":"Shetty Manish","year":"2024","unstructured":"Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, et al. 2024. Building AI Agents for Autonomous Clouds: Challenges and Design Principles. arXiv preprint arXiv:2407.12165 (2024)."},{"key":"e_1_3_2_1_41_1","unstructured":"Charlie Snell Jaehoon Lee Kelvin Xu and Aviral Kumar. 2024. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters. arXiv:2408.03314 [cs.LG]"},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 6398\u20136407","author":"Sun Yifan","year":"2020","unstructured":"Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, and Yichen Wei. 2020. Circle loss: A unified perspective of pair similarity optimization. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 6398\u20136407."},{"key":"e_1_3_2_1_43_1","volume-title":"Proceedings of the 39th IEEE\/ACM International Conference on Automated Software Engineering. 1183\u20131194","author":"Sun Yongqian","year":"2024","unstructured":"Yongqian Sun, Binpeng Shi, Mingyu Mao, Minghua Ma, Sibo Xia, Shenglin Zhang, and Dan Pei. 2024. ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems. In Proceedings of the 39th IEEE\/ACM International Conference on Automated Software Engineering. 1183\u20131194."},{"key":"e_1_3_2_1_44_1","unstructured":"Qwen Team. 2024. Qwen2.5: A Party of Foundation Models. https:\/\/qwenlm.github.io\/blog\/qwen2.5\/"},{"key":"e_1_3_2_1_45_1","unstructured":"thenextweb. 2025. Android vulnerability lets hackers hijack your phone with malicious videos. https:\/\/thenextweb.com\/news\/google-android-vulnerability-malicious-video Accessed: 2025-01-14."},{"key":"e_1_3_2_1_46_1","volume-title":"Automatically Generating UI Code from Screen-shot: A Divide-and-Conquer-Based Approach. arXiv preprint arXiv:2406.16386","author":"Wan Yuxuan","year":"2024","unstructured":"Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, and Michael R Lyu. 2024. Automatically Generating UI Code from Screen-shot: A Divide-and-Conquer-Based Approach. arXiv preprint arXiv:2406.16386 (2024)."},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"38","author":"Wang Yu","year":"2024","unstructured":"Yu Wang, Nedim Lipka, Ryan A Rossi, Alexa Siu, Ruiyi Zhang, and Tyler Derr. 2024. Knowledge graph prompting for multi-document question answering. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38. 19206\u201319214."},{"key":"e_1_3_2_1_48_1","volume-title":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. 4966\u20134974","author":"Wang Zefan","year":"2024","unstructured":"Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, and Qingsong Wen. 2024. Rcagent: Cloud root cause analysis by autonomous agents with tool-augmented large language models. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. 4966\u20134974."},{"key":"e_1_3_2_1_49_1","volume-title":"Large Language Models Can Provide Accurate and Interpretable Incident Triage. In 2024 International Symposium on Software Reliability Engineering.","author":"Wang Zexin","year":"2024","unstructured":"Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin Qingwei lin, and Dongmei Zhang. 2024. Large Language Models Can Provide Accurate and Interpretable Incident Triage. In 2024 International Symposium on Software Reliability Engineering."},{"key":"e_1_3_2_1_50_1","volume-title":"Large Language Models Can Provide Accurate and Interpretable Incident Triage. In 2024 International Symposium on Software Reliability Engineering.","author":"Wang Zexin","year":"2024","unstructured":"Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin Qingwei lin, and Dongmei Zhang. 2024. Large Language Models Can Provide Accurate and Interpretable Incident Triage. In 2024 International Symposium on Software Reliability Engineering."},{"key":"e_1_3_2_1_51_1","volume-title":"Denny Zhou, et al.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems 35 (2022), 24824\u201324837."},{"key":"e_1_3_2_1_52_1","unstructured":"Yangzhen Wu Zhiqing Sun Shanda Li Sean Welleck and Yiming Yang. 2024. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models. arXiv:2408.00724 [cs.AI]"},{"key":"e_1_3_2_1_53_1","volume-title":"Proceedings of the 46th IEEE\/ACM International Conference on Software Engineering. 1\u201312","author":"Xu Junjielong","year":"2024","unstructured":"Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, et al. 2024. UniLog: Automatic Logging via LLM and In-Context Learning. In Proceedings of the 46th IEEE\/ACM International Conference on Software Engineering. 1\u201312."},{"key":"e_1_3_2_1_54_1","volume-title":"Shin Hwei Tan, and Pinjia He","author":"Xu Junjielong","year":"2024","unstructured":"Junjielong Xu, Ying Fu, Shin Hwei Tan, and Pinjia He. 2024. Aligning LLMs for FL-free Program Repair. arXiv preprint arXiv:2404.08877 (2024)."},{"key":"e_1_3_2_1_55_1","volume-title":"Proceedings of the IEEE\/ACM 46th International Conference on Software Engineering. 1\u201312","author":"Xu Junjielong","year":"2024","unstructured":"Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, and Pinjia He. 2024. DivLog: Log Parsing with Prompt Enhanced In-Context Learning. In Proceedings of the IEEE\/ACM 46th International Conference on Software Engineering. 1\u201312."},{"key":"e_1_3_2_1_56_1","volume-title":"Harnessing the power of llms in practice: A survey on chatgpt and beyond. ACM Transactions on Knowledge Discovery from Data 18, 6","author":"Yang Jingfeng","year":"2024","unstructured":"Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, and Xia Hu. 2024. Harnessing the power of llms in practice: A survey on chatgpt and beyond. ACM Transactions on Knowledge Discovery from Data 18, 6 (2024), 1\u201332."},{"key":"e_1_3_2_1_57_1","volume-title":"Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering. 266\u2013277","author":"Zhang Xuchao","year":"2024","unstructured":"Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, and Saravan Rajmohan. 2024. Automated root causing of cloud incidents using in-context learning with GPT-4. In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering. 266\u2013277."},{"key":"e_1_3_2_1_58_1","unstructured":"Wayne Xin Zhao Kun Zhou Junyi Li Tianyi Tang Xiaolei Wang Yupeng Hou Yingqian Min Beichen Zhang Junjie Zhang Zican Dong Yifan Du Chen Yang Yushuo Chen Zhipeng Chen Jinhao Jiang Ruiyang Ren Yifan Li Xinyu Tang Zikang Liu Peiyu Liu Jian-Yun Nie and Ji-Rong Wen. 2024. A Survey of Large Language Models. arXiv:2303.18223 [cs.CL]"},{"key":"e_1_3_2_1_59_1","volume-title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). Association for Computational Linguistics","author":"Zheng Yaowei","year":"2024","unstructured":"Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Zhangchi Feng, and Yongqiang Ma. 2024. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). Association for Computational Linguistics, Bangkok, Thailand."},{"key":"e_1_3_2_1_60_1","volume-title":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4559\u20134570","author":"Zhong Aoxiao","year":"2024","unstructured":"Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, and Qingsong Wen. 2024. LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4559\u20134570."}],"event":{"name":"FSE Companion '25: 33rd ACM International Conference on the Foundations of Software Engineering","location":"Clarion Hotel Trondheim Trondheim Norway","acronym":"FSE Companion '25","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696630.3728547","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T19:15:44Z","timestamp":1753730144000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696630.3728547"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,23]]},"references-count":60,"alternative-id":["10.1145\/3696630.3728547","10.1145\/3696630"],"URL":"https:\/\/doi.org\/10.1145\/3696630.3728547","relation":{},"subject":[],"published":{"date-parts":[[2025,6,23]]},"assertion":[{"value":"2025-07-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}