{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T16:00:58Z","timestamp":1785340858540,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T00:00:00Z","timestamp":1775952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,12]]},"DOI":"10.1145\/3794763.3798172","type":"proceedings-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:18:58Z","timestamp":1785338338000},"page":"515-526","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["LLMs for Qualitative Data Analysis Fail on Security-specific Comments in Human Experiments"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-1178-0210","authenticated-orcid":false,"given":"Maria","family":"Camporese","sequence":"first","affiliation":[{"name":"University of Trento, Trento, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1091-8486","authenticated-orcid":false,"given":"Fabio","family":"Massacci","sequence":"additional","affiliation":[{"name":"University of Trento, Trento, Italy and Vrije Universiteit Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4661-904X","authenticated-orcid":false,"given":"Yuanjun","family":"Gong","sequence":"additional","affiliation":[{"name":"University of Trento, Trento, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,29]]},"reference":[{"key":"e_1_3_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2017.8115623"},{"key":"e_1_3_3_3_3_2","unstructured":"Anthropic. 2025. Claude 4: Claude Opus 4 & Claude Sonnet 4 Large Language Models. System card \/ technical documentation. https:\/\/www.anthropic.com\/news\/claude-4 Includes Opus 4 and Sonnet 4 released May 22 2025."},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"crossref","unstructured":"Andreas Armborst. 2017. Thematic proximity in content analysis. Sage Open 7 2 (2017) 2158244017707797.","DOI":"10.1177\/2158244017707797"},{"key":"e_1_3_3_3_5_2","doi-asserted-by":"crossref","unstructured":"Anthony\u00a0G Barnston. 1992. Correspondence among the correlation RMSE and Heidke forecast verification measures; refinement of the Heidke score. Weather and Forecasting 7 4 (1992) 699\u2013709.","DOI":"10.1175\/1520-0434(1992)007<0699:CATCRA>2.0.CO;2"},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/979-8-8688-1414-3_3","volume-title":"A Practical Guide to Generative AI Using Amazon Bedrock: Building, Deploying, and Securing Generative AI Applications","author":"Bhattacharjee Avik","year":"2025","unstructured":"Avik Bhattacharjee. 2025. Introduction to Amazon Bedrock. In A Practical Guide to Generative AI Using Amazon Bedrock: Building, Deploying, and Securing Generative AI Applications. Springer, 79\u2013112."},{"key":"e_1_3_3_3_7_2","unstructured":"David\u00a0M Blei Andrew\u00a0Y Ng and Michael\u00a0I Jordan. 2003. Latent dirichlet allocation. Journal of machine Learning research 3 Jan (2003) 993\u20131022."},{"key":"e_1_3_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3182519"},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW.2017.8272591"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"crossref","unstructured":"Victoria Clarke and Virginia Braun. 2017. Thematic analysis. The journal of positive psychology 12 3 (2017) 297\u2013298.","DOI":"10.1080\/17439760.2016.1262613"},{"key":"e_1_3_3_3_11_2","first-page":"464","volume-title":"International Conference on Enterprise Information Systems","volume":"2","author":"Cruz Guilherme A\u00a0Maldonado da","year":"2016","unstructured":"Guilherme A\u00a0Maldonado da Cruz, Elisa Hatsue\u00a0Moriya Huzita, and Val\u00e9ria\u00a0D Feltrim. 2016. Estimating Trust in Virtual Teams-A Framework based on Sentiment Analysis. In International Conference on Enterprise Information Systems , Vol.\u00a02. SciTePress, 464\u2013471."},{"key":"e_1_3_3_3_12_2","unstructured":"Shih-Chieh Dai Aiping Xiong and Lun-Wei Ku. 2023. LLM-in-the-loop: Leveraging large language model for thematic analysis. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.15100 (2023)."},{"key":"e_1_3_3_3_13_2","unstructured":"DeepSeek-AI Aixin Liu Aoxue Mei Bangcai Lin Bing Xue Bingxuan Wang Bingzheng Xu Bochao Wu Bowei Zhang Chaofan Lin Chen Dong Chengda Lu Chenggang Zhao Chengqi Deng Chenhao Xu Chong Ruan Damai Dai Daya Guo Dejian Yang Deli Chen Erhang Li Fangqi Zhou Fangyun Lin Fucong Dai Guangbo Hao Guanting Chen Guowei Li H. Zhang Hanwei Xu Hao Li Haofen Liang Haoran Wei Haowei Zhang Haowen Luo Haozhe Ji Honghui Ding Hongxuan Tang Huanqi Cao Huazuo Gao Hui Qu Hui Zeng Jialiang Huang Jiashi Li Jiaxin Xu Jiewen Hu Jingchang Chen Jingting Xiang Jingyang Yuan Jingyuan Cheng Jinhua Zhu Jun Ran Junguang Jiang Junjie Qiu Junlong Li Junxiao Song Kai Dong Kaige Gao Kang Guan Kexin Huang Kexing Zhou Kezhao Huang Kuai Yu Lean Wang Lecong Zhang Lei Wang Liang Zhao Liangsheng Yin Lihua Guo Lingxiao Luo Linwang Ma Litong Wang Liyue Zhang M.\u00a0S. Di M.\u00a0Y. Xu Mingchuan Zhang Minghua Zhang Minghui Tang Mingxu Zhou Panpan Huang Peixin Cong Peiyi Wang Qiancheng Wang Qihao Zhu Qingyang Li Qinyu Chen Qiushi Du Ruiling Xu Ruiqi Ge Ruisong Zhang Ruizhe Pan Runji Wang Runqiu Yin Runxin Xu Ruomeng Shen Ruoyu Zhang S. Wu Z.\u00a0Z. Ren Zehua Zhao Zehui Ren Zhangli Sha Zhe Fu Zhean Xu Zhenda Xie Zhengyan Zhang Zhewen Hao Zhibin Gou Zhicheng Ma Zhigang Yan Zhihong Shao Zhixian Huang Zhiyu Wu Zhuoshu Li Zhuping Zhang Zian Xu Zihao Wang Zihui Gu Zijia Zhu Zilin Li Zipeng Zhang Ziwei Xie Ziyi Gao Zizheng Pan Zongqing Yao Bei Feng Hui Li J.\u00a0L. Cai Jiaqi Ni Lei Xu Meng Li Ning Tian R.\u00a0J. Chen R.\u00a0L. Jin S.\u00a0S. Li Shuang Zhou Tianyu Sun X.\u00a0Q. Li Xiangyue Jin Xiaojin Shen Xiaosha Chen Xinnan Song Xinyi Zhou Y.\u00a0X. Zhu Yanping Huang Yaohui Li Yi Zheng Yuchen Zhu Yunxian Ma Zhen Huang Zhipeng Xu Zhongyu Zhang Dongjie Ji Jian Liang Jianzhong Guo Jin Chen Leyi Xia Miaojun Wang Mingming Li Peng Zhang Ruyi Chen Shangmian Sun Shaoqing Wu Shengfeng Ye T. Wang W.\u00a0L. Xiao Wei An Xianzu Wang Xiaowen Sun Xiaoxiang Wang Ying Tang Yukun Zha Zekai Zhang Zhe Ju Zhen Zhang and Zihua Qu. 2025. DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2512.02556 (2025). https:\/\/arxiv.org\/abs\/2512.02556"},{"key":"e_1_3_3_3_14_2","unstructured":"Zackary\u00a0Okun Dunivin. 2024. Scalable qualitative coding with llms: Chain-of-thought reasoning matches human performance in some hermeneutic tasks. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.15170 (2024)."},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/2950290.2950331"},{"key":"e_1_3_3_3_16_2","doi-asserted-by":"crossref","unstructured":"Robert\u00a0Wayne Gregory Mark Keil Jan Muntermann and Magnus M\u00e4hring. 2015. Paradoxes and the nature of ambidexterity in IT transformation programs. Information Systems Research 26 1 (2015) 57\u201380.","DOI":"10.1287\/isre.2014.0554"},{"key":"e_1_3_3_3_17_2","volume-title":"Applied thematic analysis","author":"Guest Greg","year":"2011","unstructured":"Greg Guest, Kathleen\u00a0M MacQueen, and Emily\u00a0E Namey. 2011. Applied thematic analysis. sage publications."},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"crossref","unstructured":"Wenbo Guo Dongliang Mu Jun Xu Purui Su G. Wang and Xinyu Xing. 2018. LEMNA: Explaining Deep Learning based Security Applications. Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (2018).","DOI":"10.1145\/3243734.3243792"},{"key":"e_1_3_3_3_19_2","unstructured":"Aaron Hurst Adam Lerer Adam\u00a0P Goucher Adam Perelman Aditya Ramesh Aidan Clark AJ Ostrow Akila Welihinda Alan Hayes Alec Radford et\u00a0al. 2024. Gpt-4o system card. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.21276 (2024)."},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3167132.3167296"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"crossref","unstructured":"Nishant Jha and Anas Mahmoud. 2018. Using frame semantics for classifying and summarizing application store reviews. Empirical Software Engineering 23 6 (2018) 3734\u20133767.","DOI":"10.1007\/s10664-018-9605-x"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"crossref","unstructured":"Nishant Jha and Anas Mahmoud. 2019. Mining non-functional requirements from app store reviews. Empirical Software Engineering 24 (2019) 3659\u20133695.","DOI":"10.1007\/s10664-019-09716-7"},{"key":"e_1_3_3_3_23_2","doi-asserted-by":"crossref","unstructured":"Jing Jiang David Lo Jiahuan He Xin Xia Pavneet\u00a0Singh Kochhar and Li Zhang. 2017. Why and how developers fork what from whom in GitHub. Empirical Software Engineering 22 1 (2017) 547\u2013578.","DOI":"10.1007\/s10664-016-9436-6"},{"key":"e_1_3_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/2950290.2950304"},{"key":"e_1_3_3_3_25_2","doi-asserted-by":"crossref","unstructured":"Robbert Jongeling Proshanta Sarkar Subhajit Datta and Alexander Serebrenik. 2017. On negative results when using sentiment analysis tools for software engineering research. Empirical Software Engineering 22 (2017) 2543\u20132584.","DOI":"10.1007\/s10664-016-9493-x"},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1109\/ICSME.2019.00070","volume-title":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","author":"Kallis Rafael","year":"2019","unstructured":"Rafael Kallis, Andrea Di\u00a0Sorbo, Gerardo Canfora, and Sebastiano Panichella. 2019. Ticket tagger: Machine learning driven issue classification. In 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE, 406\u2013409."},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"crossref","unstructured":"Kevin\u00a0Danis Li Adrian\u00a0M Fernandez Rachel Schwartz Natalie Rios Marvin\u00a0Nathaniel Carlisle Gregory\u00a0M Amend Hiren\u00a0V Patel and Benjamin\u00a0N Breyer. 2024. Comparing GPT-4 and human researchers in health care data analysis: qualitative description study. Journal of Medical Internet Research 26 (2024) e56500.","DOI":"10.2196\/56500"},{"key":"e_1_3_3_3_28_2","unstructured":"Zhen Li Deqing Zou Shouhuai Xu Xinyu Ou Hai Jin Sujuan Wang Zhijun Deng and Yuyi Zhong. 2018. Vuldeepecker: A deep learning-based system for vulnerability detection. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1801.01681 (2018)."},{"key":"e_1_3_3_3_29_2","doi-asserted-by":"crossref","unstructured":"Bin Lin Nathan Cassee Alexander Serebrenik Gabriele Bavota Nicole Novielli and Michele Lanza. 2022. Opinion mining for software development: a systematic literature review. ACM Transactions on Software Engineering and Methodology (TOSEM) 31 3 (2022) 1\u201341.","DOI":"10.1145\/3490388"},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"crossref","unstructured":"Petter M\u00e6hlum David Samuel Rebecka\u00a0Maria Norman Elma Jelin \u00d8yvind\u00a0Andresen Bjertn\u00e6s Lilja \u00d8vrelid and Erik Velldal. 2024. It\u2019s Difficult to be Neutral\u2013Human and LLM-based Sentiment Annotation of Patient Comments. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.18832 (2024).","DOI":"10.63317\/2ce52hsv3srb"},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"crossref","unstructured":"Mika\u00a0V M\u00e4ntyl\u00e4 and Casper Lassenius. 2008. What types of defects are really discovered in code reviews? IEEE Transactions on Software Engineering 35 3 (2008) 430\u2013448.","DOI":"10.1109\/TSE.2008.71"},{"key":"e_1_3_3_3_32_2","first-page":"387","volume-title":"International conference on data intelligence and cognitive informatics","author":"Marvin Ggaliwango","year":"2023","unstructured":"Ggaliwango Marvin, Nakayiza Hellen, Daudi Jjingo, and Joyce Nakatumba-Nabende. 2023. Prompt engineering in large language models. In International conference on data intelligence and cognitive informatics. Springer, 387\u2013402."},{"key":"e_1_3_3_3_33_2","unstructured":"Meta AI. 2024. The LLaMA 3 Herd of Models. arXiv preprint (2024). https:\/\/arxiv.org Most recent LLaMA model family at time of writing."},{"key":"e_1_3_3_3_34_2","unstructured":"Mistral AI. 2024. Mixtral of Experts. arXiv preprint (2024). https:\/\/arxiv.org Sparse mixture-of-experts language model."},{"key":"e_1_3_3_3_35_2","unstructured":"OpenAI. 2025. GPT-5: Technical Overview and Capabilities. Model documentation and release notes. https:\/\/openai.com Large multimodal foundation model released by OpenAI."},{"key":"e_1_3_3_3_36_2","unstructured":"OpenAI. 2025. OpenAI o3: Reasoning-Focused Large Language Model. Technical documentation and model card. https:\/\/openai.com Reasoning-optimized model in the OpenAI o-series."},{"key":"e_1_3_3_3_37_2","doi-asserted-by":"crossref","unstructured":"Aurora Papotti Ranindya Paramitha and Fabio Massacci. 2024. On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools. Empirical Software Engineering 29 5 (2024) 1\u201335.","DOI":"10.1007\/s10664-024-10506-z"},{"key":"e_1_3_3_3_38_2","doi-asserted-by":"crossref","unstructured":"Aurora Papotti Katja Tuma and Fabio Massacci. 2025. On the effects of program slicing for vulnerability detection during code inspection. Empirical Software Engineering 30 3 (2025) 1\u201337.","DOI":"10.1007\/s10664-025-10636-y"},{"key":"e_1_3_3_3_39_2","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1109\/MSR.2017.17","volume-title":"2017 IEEE\/ACM 14th International Conference on Mining Software Repositories (MSR)","author":"Rahman Mohammad\u00a0Masudur","year":"2017","unstructured":"Mohammad\u00a0Masudur Rahman, Chanchal\u00a0K Roy, and Raula\u00a0G Kula. 2017. Predicting usefulness of code review comments using textual features and developer experience. In 2017 IEEE\/ACM 14th International Conference on Mining Software Repositories (MSR). IEEE, 215\u2013226."},{"key":"e_1_3_3_3_40_2","doi-asserted-by":"crossref","unstructured":"Zeeshan Rasheed Muhammad Waseem Aakash Ahmad Kai-Kristian Kemell Wang Xiaofeng Anh\u00a0Nguyen Duc and Pekka Abrahamsson. 2024. Can large language models serve as data analysts? a multi-agent assisted approach for qualitative data analysis. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.01386 (2024).","DOI":"10.2139\/ssrn.5149683"},{"key":"e_1_3_3_3_41_2","doi-asserted-by":"crossref","unstructured":"Per Runeson and Martin H\u00f6st. 2009. Guidelines for conducting and reporting case study research in software engineering. Empirical software engineering 14 (2009) 131\u2013164.","DOI":"10.1007\/s10664-008-9102-8"},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"crossref","unstructured":"Antonino Sabetta Serena\u00a0Elisa Ponta Rocio\u00a0Cabrera Lozoya Michele Bezzi Tommaso Sacchetti Matteo Greco Gerg\u0151 Balogh P\u00e9ter Heged\u0171s Rudolf Ferenc Ranindya Paramitha et\u00a0al. 2024. Known vulnerabilities of open source projects: Where are the fixes? IEEE Security & Privacy 22 2 (2024) 49\u201359.","DOI":"10.1109\/MSEC.2023.3343836"},{"key":"e_1_3_3_3_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713120"},{"key":"e_1_3_3_3_44_2","unstructured":"Sander Schulhoff Michael Ilie Nishant Balepur Konstantine Kahadze Amanda Liu Chenglei Si Yinheng Li Aayush Gupta HyoJung Han Sevien Schulhoff et\u00a0al. 2024. The prompt report: a systematic survey of prompt engineering techniques. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.06608 (2024)."},{"key":"e_1_3_3_3_45_2","doi-asserted-by":"crossref","unstructured":"Carolyn\u00a0B. Seaman. 1999. Qualitative methods in empirical studies of software engineering. IEEE Transactions on software engineering 25 4 (1999) 557\u2013572.","DOI":"10.1109\/32.799955"},{"key":"e_1_3_3_3_46_2","unstructured":"Kimi Team Yifan Bai Yiping Bao Guanduo Chen Jiahao Chen Ningxin Chen Ruijue Chen Yanru Chen Yuankun Chen Yutian Chen et\u00a0al. 2025. Kimi k2: Open agentic intelligence. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2507.20534 (2025)."},{"key":"e_1_3_3_3_47_2","doi-asserted-by":"crossref","unstructured":"Mike Thelwall Kevan Buckley Georgios Paltoglou Di Cai and Arvid Kappas. 2010. Sentiment strength detection in short informal text. Journal of the American society for information science and technology 61 12 (2010) 2544\u20132558.","DOI":"10.1002\/asi.21416"},{"key":"e_1_3_3_3_48_2","doi-asserted-by":"crossref","unstructured":"Matthijs\u00a0J Warrens. 2015. Five ways to look at Cohen\u2019s kappa. Journal of Psychology & Psychotherapy 5 (2015).","DOI":"10.4172\/2161-0487.1000197"},{"key":"e_1_3_3_3_49_2","unstructured":"Colin White Samuel Dooley Manley Roberts Arka Pal Ben Feuer Siddhartha Jain Ravid Shwartz-Ziv Neel Jain Khalid Saifullah Sreemanti Dey et\u00a0al. 2024. LiveBench: A challenging contamination-limited LLM benchmark. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.19314 (2024)."},{"key":"e_1_3_3_3_50_2","doi-asserted-by":"publisher","DOI":"10.5555\/2349018"},{"key":"e_1_3_3_3_51_2","unstructured":"xAI. 2024. Grok: A Large Language Model by xAI. Model documentation and release announcement. https:\/\/x.ai Latest publicly released Grok model family at time of writing."},{"key":"e_1_3_3_3_52_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581754.3584136"},{"key":"e_1_3_3_3_53_2","unstructured":"An Yang Anfeng Li Baosong Yang Beichen Zhang Binyuan Hui Bo Zheng Bowen Yu Chang Gao Chengen Huang Chenxu Lv et\u00a0al. 2025. Qwen3 technical report. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2505.09388 (2025)."},{"key":"e_1_3_3_3_54_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"e_1_3_3_3_55_2","unstructured":"Yan Zhang and Barbara\u00a0M Wildemuth. 2009. Qualitative analysis of content. Applications of social research methods to questions in information and library science 308 319 (2009) 1\u201312."},{"key":"e_1_3_3_3_56_2","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1007\/978-3-642-20161-5_34","volume-title":"Advances in Information Retrieval: 33rd European Conference on IR Research, ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings 33","author":"Zhao Wayne\u00a0Xin","year":"2011","unstructured":"Wayne\u00a0Xin Zhao, Jing Jiang, Jianshu Weng, Jing He, Ee-Peng Lim, Hongfei Yan, and Xiaoming Li. 2011. Comparing twitter and traditional media using topic models. In Advances in Information Retrieval: 33rd European Conference on IR Research, ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings 33. Springer, 338\u2013349."}],"event":{"name":"ICPC '26: 34th IEEE\/ACM International Conference on Program Comprehension","location":"Rio de Janeiro , Brazil","acronym":"ICPC '26","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 2026 34th IEEE\/ACM International Conference on Program Comprehension"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3794763.3798172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:21:19Z","timestamp":1785338479000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3794763.3798172"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":55,"alternative-id":["10.1145\/3794763.3798172","10.1145\/3794763"],"URL":"https:\/\/doi.org\/10.1145\/3794763.3798172","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-07-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}