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2020 – today
- 2024
[c44]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. CIKM 2024: 4939-4947- [c43]Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan:
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. SoCC 2024: 99-110 - [c42]Pooja Srinivas
, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan:
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. ICSE-SEIP 2024: 381-391 - [c41]Jovan Stojkovic, Pulkit A. Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini:
SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud. ISCA 2024: 437-451 - [c40]Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman:
Designing Cloud Servers for Lower Carbon. ISCA 2024: 452-470 - [c39]Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei:
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. KDD 2024: 6190-6201 - [c38]Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang:
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion 2024: 38-49 - [c37]Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
Exploring LLM-Based Agents for Root Cause Analysis. SIGSOFT FSE Companion 2024: 208-219 - [c36]Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan:
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. SIGSOFT FSE Companion 2024: 266-277 - [c35]Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. SIGSOFT FSE Companion 2024: 388-398 - [c34]Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan:
X-Lifecycle Learning for Cloud Incident Management using LLMs. SIGSOFT FSE Companion 2024: 417-428 - [c33]Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan:
Dependency Aware Incident Linking in Large Cloud Systems. WWW (Companion Volume) 2024: 141-150 - [i26]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i25]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i24]Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan:
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. CoRR abs/2401.13810 (2024) - [i23]Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
Exploring LLM-based Agents for Root Cause Analysis. CoRR abs/2403.04123 (2024) - [i22]Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan:
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. CoRR abs/2403.07927 (2024) - [i21]Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan:
Dependency Aware Incident Linking in Large Cloud Systems. CoRR abs/2403.18639 (2024) - [i20]Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan:
X-lifecycle Learning for Cloud Incident Management using LLMs. CoRR abs/2404.03662 (2024) - [i19]Lexiang Huang, Anjaly Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit A. Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini:
Workload Intelligence: Punching Holes Through the Cloud Abstraction. CoRR abs/2404.19143 (2024) - [i18]Anjaly Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Lexiang Huang, Timothy Zhu, Chetan Bansal:
Towards Cloud Efficiency with Large-scale Workload Characterization. CoRR abs/2405.07250 (2024) - [i17]Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. CoRR abs/2405.15370 (2024) - [i16]Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao:
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR abs/2406.06007 (2024) - [i15]Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan:
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. CoRR abs/2407.12165 (2024) - [i14]Kunal Jain, Anjaly Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan:
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling. CoRR abs/2408.13510 (2024) - 2023
- [j5]Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests toward Completion. ACM Trans. Softw. Eng. Methodol. 32(2): 35:1-35:30 (2023) - [c32]Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) 2023: 631-643 - [c31]Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang:
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. DSN 2023: 522-530 - [c30]Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan:
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. ICSE 2023: 1737-1749 - [c29]Vaibhav Ganatra, Anjaly Parayil, Supriyo Ghosh, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace:
Detection Is Better Than Cure: A Cloud Incidents Perspective. ESEC/SIGSOFT FSE 2023: 1891-1902 - [c28]Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang:
AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure. USENIX ATC 2023: 359-372 - [i13]Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan:
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. CoRR abs/2301.03797 (2023) - [i12]Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis. CoRR abs/2309.05833 (2023) - 2022
- [j4]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan:
SoftNER: Mining knowledge graphs from cloud incidents. Empir. Softw. Eng. 27(4): 93 (2022) - [c27]Supriyo Ghosh, Manish Shetty, Chetan Bansal, Suman Nath:
How to fight production incidents?: an empirical study on a large-scale cloud service. SoCC 2022: 126-141 - [c26]Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan:
Characterizing the Usage of CI Tools in ML Projects. ESEM 2022: 69-79 - [c25]Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari:
DeepAnalyze: Learning to Localize Crashes at Scale. ICSE 2022: 549-560 - [c24]Chandra Shekhar Maddila, Suhas Shanbhogue, Apoorva Agrawal, Thomas Zimmermann, Chetan Bansal, Nicole Forsgren, Divyanshu Agrawal, Kim Herzig, Arie van Deursen:
Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale. ESEC/SIGSOFT FSE 2022: 1246-1256 - [c23]Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta:
AutoTSG: learning and synthesis for incident troubleshooting. ESEC/SIGSOFT FSE 2022: 1477-1488 - [c22]Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Spot Virtual Machine Eviction Prediction in Microsoft Cloud. WWW (Companion Volume) 2022: 152-156 - [i11]Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta:
AutoTSG: Learning and Synthesis for Incident Troubleshooting. CoRR abs/2205.13457 (2022) - 2021
- [j3]Song Wang, Chetan Bansal, Nachiappan Nagappan:
Large-scale intent analysis for identifying large-review-effort code changes. Inf. Softw. Technol. 130: 106408 (2021) - [j2]Dusica Marijan, Chetan Bansal, Tamara Lopez:
Industry-Academia Research Collaborations During and After COVID-19. ACM SIGSOFT Softw. Eng. Notes 46(4): 19-22 (2021) - [c21]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. ICSE (SEIP) 2021: 218-227 - [c20]Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant:
Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. KDD 2021: 3128-3138 - [c19]Nikitha Rao, Chetan Bansal, Joe Guan:
Search4Code: Code Search Intent Classification Using Weak Supervision. MSR 2021: 575-579 - [i10]Manish Shetty, Chetan Bansal:
Mining Knowledge Graphs From Incident Reports. CoRR abs/2101.05961 (2021) - [i9]Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari:
Large-scale Crash Localization using Multi-Task Learning. CoRR abs/2109.14326 (2021) - 2020
- [c18]Nikitha Rao, Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan:
Analyzing Web Search Behavior for Software Engineering Tasks. IEEE BigData 2020: 768-777 - [c17]Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CIKM 2020: 2189-2192 - [c16]Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah:
An Empirical Study of Software Exceptions in the Field using Search Logs. ESEM 2020: 4:1-4:12 - [c15]Shuvendu K. Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal:
Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost. FMCAD 2020: 169-178 - [c14]Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman:
DeCaf: diagnosing and triaging performance issues in large-scale cloud services. ICSE (SEIP) 2020: 201-210 - [c13]Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Balasubramanyan Ashok, Sumit Asthana, Christian Bird, Aditya Kumar:
Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. NSDI 2020: 435-448 - [c12]Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. SIGIR 2020: 1517-1520 - [i8]Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. CoRR abs/2005.00517 (2020) - [i7]Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CoRR abs/2005.08591 (2020) - [i6]Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah:
An Empirical Study of Software Exceptions in the Field using Search Logs. CoRR abs/2006.00385 (2020) - [i5]Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. CoRR abs/2007.05505 (2020) - [i4]Nikitha Rao, Chetan Bansal, Joe Guan:
Code Search Intent Classification Using Weak Supervision. CoRR abs/2011.11950 (2020) - [i3]Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests Towards Completion. CoRR abs/2011.12468 (2020)
2010 – 2019
- 2019
- [c11]Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava:
Building sankie: an AI platform for DevOps. BotSE@ICSE 2019: 48-53 - [c10]Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip:
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. PROMISE 2019: 46-55 - [c9]Chandra Shekhar Maddila, Chetan Bansal, Nachiappan Nagappan:
Predicting pull request completion time: a case study on large scale cloud services. ESEC/SIGSOFT FSE 2019: 874-882 - [c8]Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Christian Bird, Chetan Bansal, Chandra Shekhar Maddila, Sonu Mehta, Balasubramanyan Ashok:
WhoDo: automating reviewer suggestions at scale. ESEC/SIGSOFT FSE 2019: 937-945 - [i2]Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman:
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services. CoRR abs/1910.05339 (2019) - [i1]Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan:
The Usage of Web Search for Software Engineering. CoRR abs/1912.09519 (2019) - 2016
- [c7]Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke:
Hashtag Recommendation for Enterprise Applications. CIKM 2016: 893-902 - [c6]Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal:
CloudSDV Enabling Static Driver Verifier Using Microsoft Azure. IFM 2016: 523-536 - [c5]Rahul Kumar, Chetan Bansal, Jakob Lichtenberg:
Static Analysis Using the Cloud. iFMCloud@IFM 2016: 2-15 - 2015
- [c4]Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling:
Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing. SEC 2015: 97-111 - 2014
- [j1]Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis:
Discovering concrete attacks on website authorization by formal analysis. J. Comput. Secur. 22(4): 601-657 (2014) - 2013
- [c3]Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis:
Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage. POST 2013: 126-146 - 2012
- [c2]Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis:
Discovering Concrete Attacks on Website Authorization by Formal Analysis. CSF 2012: 247-262
2000 – 2009
- 2009
- [c1]Timothy K. Horiuchi, Chetan Bansal, Tarek M. Massoud:
Binaural Intensity Comparison in the Echolocating Bat using Synaptic Conductance. ISCAS 2009: 2153-2156
Coauthor Index
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