Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era
Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal
ICSE SEIP '25 | April 2025
Chetan Bansal
Senior Principal Research Manager
Publications
Publications by Year
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Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms
Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novakovic, Lisa Hsu, Karel Trueba, Abhishek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini
ASPLOS | March 2025
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Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024 Symposium on Cloud Computing | November 2024
AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
November 2024
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
October 2024
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
August 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
Foundations of Software Engineering (FSE) | July 2024
X-lifecycle Learning for Cloud Incident Management using LLMs
Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
Foundations of Software Engineering (FSE) | July 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
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
NeurIPS 2024 | June 2024
Designing Cloud Servers for Lower Carbon
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
ISCA | June 2024
SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit 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
ISCA | June 2024
Dependency Aware Incident Linking in Large Cloud Systems
Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
The Web Conference (WWW) | May 2024
Towards Cloud Efficiency with Large-scale Workload Characterization
A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
Published by Arxiv | May 2024, Vol abs/2405.07250
Intelligent Overclocking for Improved Cloud Efficiency
Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
AIOps '24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
Workload Intelligence: Punching Holes Through the Cloud Abstraction
Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
April 2024
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PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
September 2023
AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure
Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang
2023 USENIX Annual Technical Conference | July 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
ICSE 2023 | May 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
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 Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
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AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
SoCC 2022 | November 2022
Best Paper Award
Characterizing the Usage of CI Tools in ML Projects
Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
ESEM 2022 | September 2022
DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
SoftNER: Mining knowledge graphs from Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
Empirical Software Engineering | April 2022, Vol 27(4)
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
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Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
43rd International Conference on Software Engineering (ICSE '21) - SEIP Track | May 2021
Search4Code: Code Search Intent Classification Using Weak Supervision
Nikitha Rao, Chetan Bansal, Joe Guan
Mining Software Repositories (MSR '21) | May 2021
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Analyzing Web Search Behavior for Software Engineering Tasks
Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Awadallah, Nachi Nagappan
IEEE BigData | December 2020
Product Insights: Analyzing Product Intents in Web Search
Nikitha Rao, Chetan Bansal, Subhabrata (Subho) Mukherjee, Chandra Maddila
CIKM 2020 | October 2020
Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes
Song Wang, Chetan Bansal, Nachi Nagappan
Information and Software Technology | September 2020
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah
ESEM 2020 | July 2020
Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost
Shuvendu Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal
FMCAD | July 2020
Best paper award
Studying Ransomware Attacks Using Web Search Logs
Chetan Bansal, Pantazis Deligiannis, Chandra Maddila, Nikitha Rao
SIGIR 2020 | July 2020
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
ICSE 2020 | May 2020
Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
Networked System Design and Implementation (NSDI) | February 2020
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Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
WhoDo: Automating Reviewer Suggestions at Scale
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
ESEC/FSE 2019 | August 2019
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
Building sankie: an AI platform for DevOps
Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
1st International Workshop on Bots in Software Engineering (BotSE '19) | May 2019
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Hashtag Recommendation for Enterprise Applications
Dhruv Mahajan , Vishwajit Kolathur , Chetan Bansal, Sundararajan Sellamanickam, Johannes Gehrke, Sathiya Keerthi , Suresh Parthasarathy
CIKM | October 2016
CloudSDV: Enabling Static Driver Verifier using Microsoft Azure
Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal
IFM 2016 Proceedings of the 12th International Conference on Integrated Formal Methods | June 2016
ISBN: 978-3-319-33692-3
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Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing
Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling
IFIP International Information Security Conference | May 2015
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Discovering concrete attacks on website authorization by formal analysis
Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis
Journal of Computer Security | July 2014, Vol 22: pp. 601-657
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Massively Empowered Classroom: Enhancing Technical Education in India
Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies
MSR-TR-2013-127 | December 2013
Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage
Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis
2nd Conference on Principles of Security and Trust (POST 2013) | January 2013
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Discovering Concrete Attacks on Website Authorization by Formal Analysis
Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis
25th IEEE Computer Security Foundations Symposium (CSF'12) | June 2012
Publications by Research Area
-
Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms
Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novakovic, Lisa Hsu, Karel Trueba, Abhishek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini
ASPLOS | March 2025
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024 Symposium on Cloud Computing | November 2024
AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
November 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
August 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
Designing Cloud Servers for Lower Carbon
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
ISCA | June 2024
SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit 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
ISCA | June 2024
Towards Cloud Efficiency with Large-scale Workload Characterization
A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
Published by Arxiv | May 2024, Vol abs/2405.07250
Intelligent Overclocking for Improved Cloud Efficiency
Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
AIOps '24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
September 2023
AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure
Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang
2023 USENIX Annual Technical Conference | July 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
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 Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
SoCC 2022 | November 2022
Best Paper Award
DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
ICSE 2020 | May 2020
Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
Networked System Design and Implementation (NSDI) | February 2020
Building sankie: an AI platform for DevOps
Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
1st International Workshop on Bots in Software Engineering (BotSE '19) | May 2019
-
Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era
Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal
ICSE SEIP '25 | April 2025
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024 Symposium on Cloud Computing | November 2024
FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
October 2024
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
ICSE 2023 | May 2023
AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
SoCC 2022 | November 2022
Best Paper Award
Characterizing the Usage of CI Tools in ML Projects
Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
ESEM 2022 | September 2022
DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
SoftNER: Mining knowledge graphs from Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
Empirical Software Engineering | April 2022, Vol 27(4)
Search4Code: Code Search Intent Classification Using Weak Supervision
Nikitha Rao, Chetan Bansal, Joe Guan
Mining Software Repositories (MSR '21) | May 2021
Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
43rd International Conference on Software Engineering (ICSE '21) - SEIP Track | May 2021
Analyzing Web Search Behavior for Software Engineering Tasks
Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Awadallah, Nachi Nagappan
IEEE BigData | December 2020
Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes
Song Wang, Chetan Bansal, Nachi Nagappan
Information and Software Technology | September 2020
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah
ESEM 2020 | July 2020
Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost
Shuvendu Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal
FMCAD | July 2020
Best paper award
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
ICSE 2020 | May 2020
Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
Networked System Design and Implementation (NSDI) | February 2020
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
WhoDo: Automating Reviewer Suggestions at Scale
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
ESEC/FSE 2019 | August 2019
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
Building sankie: an AI platform for DevOps
Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
1st International Workshop on Bots in Software Engineering (BotSE '19) | May 2019
-
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024 Symposium on Cloud Computing | November 2024
AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
November 2024
FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
August 2024
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
Foundations of Software Engineering (FSE) | July 2024
X-lifecycle Learning for Cloud Incident Management using LLMs
Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
Foundations of Software Engineering (FSE) | July 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
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
NeurIPS 2024 | June 2024
Dependency Aware Incident Linking in Large Cloud Systems
Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
The Web Conference (WWW) | May 2024
Towards Cloud Efficiency with Large-scale Workload Characterization
A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
Published by Arxiv | May 2024, Vol abs/2405.07250
Intelligent Overclocking for Improved Cloud Efficiency
Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
AIOps '24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
Workload Intelligence: Punching Holes Through the Cloud Abstraction
Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
April 2024
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
September 2023
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
ICSE 2023 | May 2023
AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
SoftNER: Mining knowledge graphs from Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
Empirical Software Engineering | April 2022, Vol 27(4)
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
43rd International Conference on Software Engineering (ICSE '21) - SEIP Track | May 2021
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
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AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
November 2024
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
CloudSDV: Enabling Static Driver Verifier using Microsoft Azure
Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal
IFM 2016 Proceedings of the 12th International Conference on Integrated Formal Methods | June 2016
ISBN: 978-3-319-33692-3
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CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
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
NeurIPS 2024 | June 2024
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Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
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Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
ICSE 2023 | May 2023
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Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
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Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Massively Empowered Classroom: Enhancing Technical Education in India
Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies
MSR-TR-2013-127 | December 2013
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Analyzing Web Search Behavior for Software Engineering Tasks
Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Awadallah, Nachi Nagappan
IEEE BigData | December 2020
Product Insights: Analyzing Product Intents in Web Search
Nikitha Rao, Chetan Bansal, Subhabrata (Subho) Mukherjee, Chandra Maddila
CIKM 2020 | October 2020
Studying Ransomware Attacks Using Web Search Logs
Chetan Bansal, Pantazis Deligiannis, Chandra Maddila, Nikitha Rao
SIGIR 2020 | July 2020
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah
ESEM 2020 | July 2020
Hashtag Recommendation for Enterprise Applications
Dhruv Mahajan , Vishwajit Kolathur , Chetan Bansal, Sundararajan Sellamanickam, Johannes Gehrke, Sathiya Keerthi , Suresh Parthasarathy
CIKM | October 2016
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Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing
Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling
IFIP International Information Security Conference | May 2015
Discovering concrete attacks on website authorization by formal analysis
Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis
Journal of Computer Security | July 2014, Vol 22: pp. 601-657
Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage
Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis
2nd Conference on Principles of Security and Trust (POST 2013) | January 2013
Discovering Concrete Attacks on Website Authorization by Formal Analysis
Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis
25th IEEE Computer Security Foundations Symposium (CSF'12) | June 2012
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Massively Empowered Classroom: Enhancing Technical Education in India
Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies
MSR-TR-2013-127 | December 2013
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Massively Empowered Classroom: Enhancing Technical Education in India
Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies
MSR-TR-2013-127 | December 2013
Publications by Type
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Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era
Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal
ICSE SEIP '25 | April 2025
Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms
Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novakovic, Lisa Hsu, Karel Trueba, Abhishek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini
ASPLOS | March 2025
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024 Symposium on Cloud Computing | November 2024
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
Foundations of Software Engineering (FSE) | July 2024
X-lifecycle Learning for Cloud Incident Management using LLMs
Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
Foundations of Software Engineering (FSE) | July 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
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
NeurIPS 2024 | June 2024
Designing Cloud Servers for Lower Carbon
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
ISCA | June 2024
SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit 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
ISCA | June 2024
Dependency Aware Incident Linking in Large Cloud Systems
Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
The Web Conference (WWW) | May 2024
Intelligent Overclocking for Improved Cloud Efficiency
Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
AIOps '24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure
Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang
2023 USENIX Annual Technical Conference | July 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
ICSE 2023 | May 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
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 Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
ESEC/FSE 2022 | November 2022
How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
SoCC 2022 | November 2022
Best Paper Award
Characterizing the Usage of CI Tools in ML Projects
Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
ESEM 2022 | September 2022
DeepAnalyze: Learning to Localize Crashes at Scale
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
ICSE 2022 | May 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Search4Code: Code Search Intent Classification Using Weak Supervision
Nikitha Rao, Chetan Bansal, Joe Guan
Mining Software Repositories (MSR '21) | May 2021
Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
43rd International Conference on Software Engineering (ICSE '21) - SEIP Track | May 2021
Analyzing Web Search Behavior for Software Engineering Tasks
Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Awadallah, Nachi Nagappan
IEEE BigData | December 2020
Product Insights: Analyzing Product Intents in Web Search
Nikitha Rao, Chetan Bansal, Subhabrata (Subho) Mukherjee, Chandra Maddila
CIKM 2020 | October 2020
Studying Ransomware Attacks Using Web Search Logs
Chetan Bansal, Pantazis Deligiannis, Chandra Maddila, Nikitha Rao
SIGIR 2020 | July 2020
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah
ESEM 2020 | July 2020
Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost
Shuvendu Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal
FMCAD | July 2020
Best paper award
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
ICSE 2020 | May 2020
Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
Networked System Design and Implementation (NSDI) | February 2020
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
WhoDo: Automating Reviewer Suggestions at Scale
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
ESEC/FSE 2019 | August 2019
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
Building sankie: an AI platform for DevOps
Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
1st International Workshop on Bots in Software Engineering (BotSE '19) | May 2019
Hashtag Recommendation for Enterprise Applications
Dhruv Mahajan , Vishwajit Kolathur , Chetan Bansal, Sundararajan Sellamanickam, Johannes Gehrke, Sathiya Keerthi , Suresh Parthasarathy
CIKM | October 2016
CloudSDV: Enabling Static Driver Verifier using Microsoft Azure
Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal
IFM 2016 Proceedings of the 12th International Conference on Integrated Formal Methods | June 2016
ISBN: 978-3-319-33692-3
Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing
Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling
IFIP International Information Security Conference | May 2015
Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage
Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis
2nd Conference on Principles of Security and Trust (POST 2013) | January 2013
Discovering Concrete Attacks on Website Authorization by Formal Analysis
Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis
25th IEEE Computer Security Foundations Symposium (CSF'12) | June 2012
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Workload Intelligence: Punching Holes Through the Cloud Abstraction
Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
April 2024
SoftNER: Mining knowledge graphs from Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
Empirical Software Engineering | April 2022, Vol 27(4)
Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes
Song Wang, Chetan Bansal, Nachi Nagappan
Information and Software Technology | September 2020
Discovering concrete attacks on website authorization by formal analysis
Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis
Journal of Computer Security | July 2014, Vol 22: pp. 601-657
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AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
November 2024
FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
October 2024
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
September 2023
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Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
August 2024
Towards Cloud Efficiency with Large-scale Workload Characterization
A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
Published by Arxiv | May 2024, Vol abs/2405.07250
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Massively Empowered Classroom: Enhancing Technical Education in India
Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies
MSR-TR-2013-127 | December 2013