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Intelligent container reallocation at Microsoft 365., , , , , , , , , and 2 other author(s). ESEC/SIGSOFT FSE, page 1438-1443. ACM, (2021)An empirical study of log analysis at Microsoft., , , , , , , , , and 1 other author(s). ESEC/SIGSOFT FSE, page 1465-1476. ACM, (2022)SPINE: a scalable log parser with feedback guidance., , , , , , , , , and 2 other author(s). ESEC/SIGSOFT FSE, page 1198-1208. ACM, (2022)Onion: identifying incident-indicating logs for cloud systems., , , , , , , , , and 3 other author(s). ESEC/SIGSOFT FSE, page 1253-1263. ACM, (2021)AutoCCAG: An Automated Approach to Constrained Covering Array Generation., , , , , , , , , and 2 other author(s). ICSE, page 201-212. IEEE, (2021)Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems, , , , , , , , , and 3 other author(s). 35 (14): 12363-12372 (2021, 2020)NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms., , , , , , , , , and 1 other author(s). WWW, page 1181-1191. ACM / IW3C2, (2021)How Long Will it Take to Mitigate this Incident for Online Service Systems?, , , , , , , , , and 3 other author(s). ISSRE, page 36-46. IEEE, (2021)Effective low capacity status prediction for cloud systems., , , , , , , , , and 7 other author(s). ESEC/SIGSOFT FSE, page 1236-1241. ACM, (2021)PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector, , , , , , , , , and 1 other author(s). 35, page 8784-8792. (2020)