Chetan Bansal

According to our database, Chetan Bansal authored at least 49 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Dependency Aware Incident Linking in Large Cloud Systems.

Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan

CoRR, 2024

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach.

Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

CoRR, 2024

Exploring LLM-based Agents for Root Cause Analysis.

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

CoRR, 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

CoRR, 2024

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy.

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning.

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

CoRR, 2024

2023

Nudge: Accelerating Overdue Pull Requests toward Completion.

Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen

ACM Trans. Softw. Eng. Methodol., April, 2023

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 Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

CoRR, 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

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Detection Is Better Than Cure: A Cloud Incidents Perspective.

Vaibhav Ganatra, Anjaly Parayil, Supriyo Ghosh, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models.

Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads.

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

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 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 Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

SoftNER: Mining knowledge graphs from cloud incidents.

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empir. Softw. Eng., 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, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

AutoTSG: learning and synthesis for incident troubleshooting.

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale.

Chandra Shekhar Maddila, Suhas Shanbhogue, Apoorva Agrawal, Thomas Zimmermann, Chetan Bansal, Nicole Forsgren, Divyanshu Agrawal, Kim Herzig, Arie van Deursen

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

DeepAnalyze: Learning to Localize Crashes at Scale.

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Characterizing the Usage of CI Tools in ML Projects.

Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan

Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

How to fight production incidents?: an empirical study on a large-scale cloud service.

Supriyo Ghosh, Manish Shetty, Chetan Bansal, Suman Nath

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Industry-Academia Research Collaborations During and After COVID-19.

Dusica Marijan, Chetan Bansal, Tamara Lopez

ACM SIGSOFT Softw. Eng. Notes, 2021

Large-scale intent analysis for identifying large-review-effort code changes.

Song Wang, Chetan Bansal, Nachiappan Nagappan

Inf. Softw. Technol., 2021

Large-scale Crash Localization using Multi-Task Learning.

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

CoRR, 2021

Mining Knowledge Graphs From Incident Reports.

Manish Shetty, Chetan Bansal

CoRR, 2021

Search4Code: Code Search Intent Classification Using Weak Supervision.

Nikitha Rao, Chetan Bansal, Joe Guan

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework.

Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Neural Knowledge Extraction From Cloud Service Incidents.

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

2020

Nudge: Accelerating Overdue Pull Requests Towards Completion.

Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen

CoRR, 2020

Code Search Intent Classification Using Weak Supervision.

Nikitha Rao, Chetan Bansal, Joe Guan

CoRR, 2020

Studying Ransomware Attacks Using Web Search Logs.

Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis.

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Balasubramanyan Ashok, Sumit Asthana, Christian Bird, Aditya Kumar

Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

DeCaf: diagnosing and triaging performance issues in large-scale cloud services.

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost.

Shuvendu K. Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal

Proceedings of the 2020 Formal Methods in Computer Aided Design, 2020

An Empirical Study of Software Exceptions in the Field using Search Logs.

Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

Product Insights: Analyzing Product Intents in Web Search.

Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Analyzing Web Search Behavior for Software Engineering Tasks.

Nikitha Rao, Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

The Usage of Web Search for Software Engineering.

Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan

CoRR, 2019

Predicting pull request completion time: a case study on large scale cloud services.

Chandra Shekhar Maddila, Chetan Bansal, Nachiappan Nagappan

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

WhoDo: automating reviewer suggestions at scale.

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Christian Bird, Chetan Bansal, Chandra Shekhar Maddila, Sonu Mehta, Balasubramanyan Ashok

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes.

Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip

Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, 2019

Building sankie: an AI platform for DevOps.

Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

Proceedings of the 1st International Workshop on Bots in Software Engineering, 2019

2016

Static Analysis Using the Cloud.

Rahul Kumar, Chetan Bansal, Jakob Lichtenberg

Proceedings of the First International Workshop on Formal Methods for and on the Cloud, 2016

CloudSDV Enabling Static Driver Verifier Using Microsoft Azure.

Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal

Proceedings of the Integrated Formal Methods - 12th International Conference, 2016

Hashtag Recommendation for Enterprise Applications.

Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing.

Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling

Proceedings of the ICT Systems Security and Privacy Protection, 2015

2014

Discovering concrete attacks on website authorization by formal analysis.

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

J. Comput. Secur., 2014

2013

Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage.

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

Proceedings of the Principles of Security and Trust - Second International Conference, 2013

2012

Discovering Concrete Attacks on Website Authorization by Formal Analysis.

Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis

Proceedings of the 25th IEEE Computer Security Foundations Symposium, 2012

2009

Binaural Intensity Comparison in the Echolocating Bat using Synaptic Conductance.

Timothy K. Horiuchi, Chetan Bansal, Tarek M. Massoud

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009