{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T22:40:37Z","timestamp":1785537637898,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62192731"],"award-info":[{"award-number":["62192731"]}],"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":["62192730"],"award-info":[{"award-number":["62192730"]}],"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":["61690200"],"award-info":[{"award-number":["61690200"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,27]]},"DOI":"10.1145\/3691620.3694996","type":"proceedings-article","created":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T15:39:19Z","timestamp":1729265959000},"page":"179-190","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Detect Hidden Dependency to Untangle Commits"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8373-1607","authenticated-orcid":false,"given":"Mengdan","family":"Fan","sequence":"first","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing, China"},{"name":"School of Software and Microelectronics, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1543-0196","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing, China"},{"name":"School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3600-8923","authenticated-orcid":false,"given":"Haiyan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing, China"},{"name":"School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2454-1706","authenticated-orcid":false,"given":"Guangtai","family":"Liang","sequence":"additional","affiliation":[{"name":"Huawei Cloud Computing Technologies Co., Ltd., Guizhou Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1087-226X","authenticated-orcid":false,"given":"Zhi","family":"Jin","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing, China"},{"name":"School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net.","author":"Allamanis Miltiadis","year":"2018","unstructured":"Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi. 2018. Learning to Represent Programs with Graphs. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net."},{"key":"e_1_3_2_1_2_1","volume-title":"Helping Developers Help Themselves: Automatic Decomposition of Code Review Change-sets. In 37th IEEE\/ACM International Conference on Software Engineering, ICSE 2015","volume":"1","author":"Barnett Mike","year":"2015","unstructured":"Mike Barnett, Christian Bird, Jo\u00e3o Brunet, and Shuvendu K. Lahiri. 2015. Helping Developers Help Themselves: Automatic Decomposition of Code Review Change-sets. In 37th IEEE\/ACM International Conference on Software Engineering, ICSE 2015, Florence, Italy, May 16--24, 2015, Volume 1. IEEE Computer Society, 134--144."},{"key":"e_1_3_2_1_3_1","volume-title":"Generative Code Modeling with Graphs. In 7th International Conference on Learning Representations, ICLR 2019","author":"Brockschmidt Marc","year":"2019","unstructured":"Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, and Oleksandr Polozov. 2019. Generative Code Modeling with Graphs. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6--9, 2019. OpenReview.net."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3545258.3545267"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/SANER.2015.7081844"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning, ICML 2017","author":"Gilmer Justin","year":"2017","unstructured":"Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, and George E. Dahl. 2017. Neural Message Passing for Quantum Chemistry. 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. 70). PMLR, 1263--1272."},{"key":"e_1_3_2_1_7_1","volume-title":"Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. In 2019 IEEE International Conference on Data Mining, ICDM 2019","author":"Guo Xiaojie","year":"2019","unstructured":"Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Manoj Pudukotai Dinakarrao. 2019. Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. In 2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8--11, 2019. IEEE, 250--259."},{"key":"e_1_3_2_1_8_1","volume-title":"Inductive Representation Learning on Large Graphs. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Hamilton William L.","year":"2017","unstructured":"William L. Hamilton, Zhitao Ying, and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4--9, 2017, Long Beach, CA, USA, Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett (Eds.). 1024--1034."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-015-9376-6"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2013.6624018"},{"key":"e_1_3_2_1_11_1","volume-title":"Fundamentals","author":"Horstmann C.","year":"2004","unstructured":"C. Horstmann and G. Cornell. 2004. Core Java 2, Volume 1: Fundamentals (7th Edition).","edition":"7"},{"key":"e_1_3_2_1_12_1","volume-title":"Open Graph Benchmark: Datasets for Machine Learning on Graphs. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020","author":"Hu Weihua","year":"2020","unstructured":"Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, and Jure Leskovec. 2020. Open Graph Benchmark: Datasets for Machine Learning on Graphs. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6--12, 2020, virtual."},{"key":"e_1_3_2_1_13_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2016","unstructured":"Thomas N. Kipf and Max Welling. 2016. Variational Graph Auto-Encoders. CoRR abs\/1611.07308 (2016)."},{"key":"e_1_3_2_1_14_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24--26, 2017, Conference Track Proceedings. OpenReview.net."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/APSEC.2016.028"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800020109"},{"key":"e_1_3_2_1_17_1","volume-title":"DeeperGCN: All You Need to Train Deeper GCNs. CoRR abs\/2006.07739","author":"Li Guohao","year":"2020","unstructured":"Guohao Li, Chenxin Xiong, Ali K. Thabet, and Bernard Ghanem. 2020. DeeperGCN: All You Need to Train Deeper GCNs. CoRR abs\/2006.07739 (2020)."},{"key":"e_1_3_2_1_18_1","volume-title":"Gated Graph Sequence Neural Networks. In 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2--4, 2016, Conference Track Proceedings.","author":"Li Yujia","unstructured":"Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard S. Zemel. 2016. Gated Graph Sequence Neural Networks. In 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2--4, 2016, Conference Track Proceedings."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC\/FSE 2022","author":"Li Yi","year":"2022","unstructured":"Yi Li, Shaohua Wang, and Tien N. Nguyen. 2022. UTANGO: untangling commits with context-aware, graph-based, code change clustering learning model. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC\/FSE 2022, Singapore, Singapore, November 14--18, 2022. ACM, 221--232."},{"key":"e_1_3_2_1_20_1","volume-title":"IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013","author":"Nguyen Hoan Anh","year":"2013","unstructured":"Hoan Anh Nguyen, Anh Tuan Nguyen, and Tien N. Nguyen. 2013. Filtering noise in mixed-purpose fixing commits to improve defect prediction and localization. In IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013, Pasadena, CA, USA, November 4--7, 2013. IEEE Computer Society, 138--147."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3409693"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2012.24"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3468551"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2393596.2393656"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2015.24"},{"key":"e_1_3_2_1_26_1","volume-title":"Graph Attention Networks. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net.","author":"Velickovic Petar","year":"2018","unstructured":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lid, and Yoshua Bengio. 2018. Graph Attention Networks. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net."},{"key":"e_1_3_2_1_27_1","volume-title":"CoRA: Decomposing and Describing Tangled Code Changes for Reviewer. In 34th IEEE\/ACM International Conference on Automated Software Engineering, ASE 2019","author":"Wang Min","year":"2019","unstructured":"Min Wang, Zeqi Lin, Yanzhen Zou, and Bing Xie. 2019. CoRA: Decomposing and Describing Tangled Code Changes for Reviewer. In 34th IEEE\/ACM International Conference on Automated Software Engineering, ASE 2019, San Diego, CA, USA, November 11--15, 2019. IEEE, 1050--1061."},{"key":"e_1_3_2_1_28_1","volume-title":"Heterogeneous Graph Attention Network. CoRR abs\/1903.07293","author":"Wang Xiao","year":"2019","unstructured":"Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, and Yanfang Ye. 2019. Heterogeneous Graph Attention Network. CoRR abs\/1903.07293 (2019)."},{"key":"e_1_3_2_1_29_1","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Xu Keyulu","year":"2019","unstructured":"Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. 2019. How Powerful are Graph Neural Networks?. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6--9, 2019. OpenReview.net."},{"key":"e_1_3_2_1_30_1","volume-title":"ChangeBeadsThreader: An Interactive Environment for Tailoring Automatically Untangled Changes. In 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2020","author":"Yamashita Satoshi","year":"2020","unstructured":"Satoshi Yamashita, Shinpei Hayashi, and Motoshi Saeki. 2020. ChangeBeadsThreader: An Interactive Environment for Tailoring Automatically Untangled Changes. In 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2020, London, ON, Canada, February 18--21, 2020. IEEE, 657--661."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2019.00086"},{"key":"e_1_3_2_1_32_1","volume-title":"Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019","author":"Zhou Yaqin","year":"2019","unstructured":"Yaqin Zhou, Shangqing Liu, Jing Kai Siow, Xiaoning Du, and Yang Liu. 2019. Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8--14, 2019, Vancouver, BC, Canada. 10197--10207."}],"event":{"name":"ASE '24: 39th IEEE\/ACM International Conference on Automated Software Engineering","location":"Sacramento CA USA","acronym":"ASE '24","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","SIGSOFT ACM Special Interest Group on Software Engineering","IEEE CS"]},"container-title":["Proceedings of the 39th IEEE\/ACM International Conference on Automated Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3691620.3694996","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3691620.3694996","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:04:06Z","timestamp":1750291446000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3691620.3694996"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,27]]},"references-count":32,"alternative-id":["10.1145\/3691620.3694996","10.1145\/3691620"],"URL":"https:\/\/doi.org\/10.1145\/3691620.3694996","relation":{},"subject":[],"published":{"date-parts":[[2024,10,27]]},"assertion":[{"value":"2024-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}