{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T17:06:47Z","timestamp":1781284007083,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":61,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:00:00Z","timestamp":1667779200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,7]]},"DOI":"10.1145\/3540250.3549092","type":"proceedings-article","created":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T20:46:22Z","timestamp":1668026782000},"page":"996-1008","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":62,"title":["Actionable and interpretable fault localization for recurring failures in online service systems"],"prefix":"10.1145","author":[{"given":"Zeyan","family":"Li","sequence":"first","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nengwen","family":"Zhao","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingjie","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianglin","family":"Lu","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixin","family":"Wang","sequence":"additional","affiliation":[{"name":"China Construction Bank, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongdong","family":"Chang","sequence":"additional","affiliation":[{"name":"China Construction Bank, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohui","family":"Nie","sequence":"additional","affiliation":[{"name":"BizSeer, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Cao","sequence":"additional","affiliation":[{"name":"BizSeer, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenchi","family":"Zhang","sequence":"additional","affiliation":[{"name":"BizSeer, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaixin","family":"Sui","sequence":"additional","affiliation":[{"name":"BizSeer, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanhua","family":"Wang","sequence":"additional","affiliation":[{"name":"China Construction Bank, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Du","sequence":"additional","affiliation":[{"name":"China Construction Bank, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoqiang","family":"Duan","sequence":"additional","affiliation":[{"name":"China Construction Bank, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Pei","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,11,9]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2021. PyTorch: Tensors and Dynamic Neural Networks in Python with Strong GPU Acceleration. https:\/\/github.com\/pytorch\/pytorch \t\t\t\t  2021. PyTorch: Tensors and Dynamic Neural Networks in Python with Strong GPU Acceleration. https:\/\/github.com\/pytorch\/pytorch"},{"key":"e_1_3_2_1_2_1","unstructured":"2021. Tsfresh. Blue Yonder GmbH. https:\/\/github.com\/blue-yonder\/tsfresh \t\t\t\t  2021. Tsfresh. Blue Yonder GmbH. https:\/\/github.com\/blue-yonder\/tsfresh"},{"key":"e_1_3_2_1_3_1","unstructured":"2022. Chaos-Mesh\/Chaos-Mesh. Chaos Mesh. https:\/\/github.com\/chaos-mesh\/chaos-mesh \t\t\t\t  2022. Chaos-Mesh\/Chaos-Mesh. Chaos Mesh. https:\/\/github.com\/chaos-mesh\/chaos-mesh"},{"key":"e_1_3_2_1_4_1","unstructured":"2022. DejaVu. NetManAIOps. https:\/\/github.com\/NetManAIOps\/DejaVu \t\t\t\t  2022. DejaVu. NetManAIOps. https:\/\/github.com\/NetManAIOps\/DejaVu"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.354"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1755913.1755926"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2019.110432"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWQOS52092.2021.9521318"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-SEIP.2019.00020"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2019.00042"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3417055"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510085"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"e_1_3_2_1_15_1","volume-title":"Statistical Power Analysis for the Behavioral Sciences","author":"Cohen J.","unstructured":"J. Cohen . 1988. Statistical Power Analysis for the Behavioral Sciences . Lawrence Erlbaum Associates . J. Cohen. 1988. Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-Companion.2019.00023"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3329859.3329878"},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of Machine Learning and Systems 2022","author":"Dogga Pradeep","year":"2022","unstructured":"Pradeep Dogga , Karthik Narasimhan , Anirudh Sivaraman , Shiv Kumar Saini , George Varghese , and Ravi Netravali . 2022 . Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems . In Proceedings of Machine Learning and Systems 2022 , MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, Diana Marculescu, Yuejie Chi, and Carole-Jean Wu (Eds.). Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, and Ravi Netravali. 2022. Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. In Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022, Diana Marculescu, Yuejie Chi, and Carole-Jean Wu (Eds.)."},{"key":"e_1_3_2_1_19_1","unstructured":"Vincent Dumoulin and Francesco Visin. 2016. A Guide to Convolution Arithmetic for Deep Learning. arXiv preprint arXiv:1603.07285. \t\t\t\t  Vincent Dumoulin and Francesco Visin. 2016. A Guide to Convolution Arithmetic for Deep Learning. arXiv preprint arXiv:1603.07285."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3445814.3446700"},{"key":"e_1_3_2_1_21_1","volume-title":"Deep Learning","author":"Goodfellow Ian","unstructured":"Ian Goodfellow , Yoshua Bengio , and Aaron Courville . 2016. Deep Learning . MIT Press . http:\/\/www.deeplearningbook.org\/ Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. MIT Press. http:\/\/www.deeplearningbook.org\/"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3417066"},{"key":"e_1_3_2_1_23_1","volume-title":"Inductive Representation Learning on Large Graphs. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems","author":"Hamilton William L","year":"2017","unstructured":"William L Hamilton , Rex 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. William L Hamilton, Rex 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."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3236024.3236083"},{"key":"e_1_3_2_1_25_1","unstructured":"Dan Hendrycks and Kevin Gimpel. 2020. Gaussian Error Linear Units (GELUs). arXiv:1606.08415 [cs] July. \t\t\t\t  Dan Hendrycks and Kevin Gimpel. 2020. Gaussian Error Linear Units (GELUs). arXiv:1606.08415 [cs] July."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2019.2920771"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2465529.2465753"},{"key":"e_1_3_2_1_28_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds .). Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.)."},{"key":"e_1_3_2_1_29_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 . 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."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPC.2017.24"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/32.841113"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00936"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3293882.3330574"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWQOS52092.2021.9521340"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2889160.2889232"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-SEIP52600.2021.00043"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE.2019.00014"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE5003.2020.00014"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2013.6693105"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380111"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.14778\/3389133.3389136"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2019.110464"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405859"},{"key":"e_1_3_2_1_44_1","unstructured":"Emanuel Metzenthin. 2022. LIME For Time. https:\/\/github.com\/emanuel-metzenthin\/Lime-For-Time \t\t\t\t  Emanuel Metzenthin. 2022. LIME For Time. https:\/\/github.com\/emanuel-metzenthin\/Lime-For-Time"},{"key":"e_1_3_2_1_45_1","unstructured":"Christoph Molnar. 2020. Interpretable Machine Learning. Lulu.com. \t\t\t\t  Christoph Molnar. 2020. Interpretable Machine Learning. Lulu.com."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939712"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2575829"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3135974.3135977"},{"key":"e_1_3_2_1_50_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.","author":"Velickovic Petar","year":"2018","unstructured":"Petar Velickovic , Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Li\u00f2 , 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. Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li\u00f2, 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."},{"key":"e_1_3_2_1_51_1","unstructured":"Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li Xiang Song Jinjing Zhou Chao Ma Lingfan Yu Yu Gai Tianjun Xiao Tong He George Karypis Jinyang Li and Zheng Zhang. 2019. Deep Graph Library: A Graph-Centric Highly-Performant Package for Graph Neural Networks. arXiv preprint arXiv:1909.01315. \t\t\t\t  Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li Xiang Song Jinjing Zhou Chao Ma Lingfan Yu Yu Gai Tianjun Xiao Tong He George Karypis Jinyang Li and Zheng Zhang. 2019. Deep Graph Library: A Graph-Centric Highly-Performant Package for Graph Neural Networks. arXiv preprint arXiv:1909.01315."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE52982.2021.00022"},{"key":"e_1_3_2_1_53_1","volume-title":"MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems. In ICSE21 Workshop on Cloud Intelligence.","author":"Wu Li","year":"2021","unstructured":"Li Wu , Johan Tordsson , Jasmin Bogatinovski , Erik Elmroth , and Odej Kao . 2021 . MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems. In ICSE21 Workshop on Cloud Intelligence. Li Wu, Johan Tordsson, Jasmin Bogatinovski, Erik Elmroth, and Odej Kao. 2021. MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems. In ICSE21 Workshop on Cloud Intelligence."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3505243"},{"key":"e_1_3_2_1_55_1","volume-title":"Gnnexplainer: Generating Explanations for Graph Neural Networks. Advances in neural information processing systems, 32","author":"Ying Zhitao","year":"2019","unstructured":"Zhitao Ying , Dylan Bourgeois , Jiaxuan You , Marinka Zitnik , and Jure Leskovec . 2019 . Gnnexplainer: Generating Explanations for Graph Neural Networks. Advances in neural information processing systems, 32 (2019). Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, and Jure Leskovec. 2019. Gnnexplainer: Generating Explanations for Graph Neural Networks. Advances in neural information processing systems, 32 (2019)."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449905"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3338906.3338931"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2018.2887384"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3338906.3338961"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-1967-3"}],"event":{"name":"ESEC\/FSE '22: 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","location":"Singapore Singapore","acronym":"ESEC\/FSE '22","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering","NUS NUS"]},"container-title":["Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3540250.3549092","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3540250.3549092","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:01Z","timestamp":1750182661000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3540250.3549092"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,7]]},"references-count":61,"alternative-id":["10.1145\/3540250.3549092","10.1145\/3540250"],"URL":"https:\/\/doi.org\/10.1145\/3540250.3549092","relation":{},"subject":[],"published":{"date-parts":[[2022,11,7]]},"assertion":[{"value":"2022-11-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}