Chetan Bansal

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 67

Top Topics

Top Venues

SIGSOFT FSE Companion

ESEC/SIGSOFT FSE

Publications

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)
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)
Anjaly Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Lexiang Huang, Timothy Zhu, Chetan Bansal
Towards Cloud Efficiency with Large-scale Workload Characterization. CoRR (2024)
Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
Dependency Aware Incident Linking in Large Cloud Systems. CoRR (2024)
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 (2024)
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 (2024)
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)
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)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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)
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)
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)
Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2023)
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 Annual Technical Conference (2023)
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 (2023)
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) (2023)
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)
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)
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)
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)
Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
Characterizing the Usage of CI Tools in ML Projects. ESEM (2022)
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)
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
AutoTSG: Learning and Synthesis for Incident Troubleshooting. CoRR (2022)
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
SoftNER: Mining knowledge graphs from cloud incidents. Empir. Softw. Eng. 27 (4) (2022)
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
DeepAnalyze: Learning to Localize Crashes at Scale. ICSE (2022)
Supriyo Ghosh, Manish Shetty, Chetan Bansal, Suman Nath
How to fight production incidents?: an empirical study on a large-scale cloud service. SoCC (2022)
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)
Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
AutoTSG: learning and synthesis for incident troubleshooting. ESEC/SIGSOFT FSE (2022)
Manish Shetty, Chetan Bansal
Mining Knowledge Graphs From Incident Reports. CoRR (2021)
Nikitha Rao, Chetan Bansal, Joe Guan
Search4Code: Code Search Intent Classification Using Weak Supervision. MSR (2021)
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)
Dusica Marijan, Chetan Bansal, Tamara Lopez
Industry-Academia Research Collaborations During and After COVID-19. ACM SIGSOFT Softw. Eng. Notes 46 (4) (2021)
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann
Neural Knowledge Extraction From Cloud Service Incidents. ICSE (SEIP) (2021)
Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
Large-scale Crash Localization using Multi-Task Learning. CoRR (2021)
Song Wang, Chetan Bansal, Nachiappan Nagappan
Large-scale intent analysis for identifying large-review-effort code changes. Inf. Softw. Technol. 130 (2021)
Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila
Product Insights: Analyzing Product Intents in Web Search. CIKM (2020)
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)
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, B. Ashok, Sumit Asthana, Christian Bird, Aditya Kumar
Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. NSDI (2020)
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)
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann
Neural Knowledge Extraction From Cloud Service Incidents. CoRR (2020)
Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao
Studying Ransomware Attacks Using Web Search Logs. CoRR (2020)
Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen
Nudge: Accelerating Overdue Pull Requests Towards Completion. CoRR (2020)
Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah
An Empirical Study of Software Exceptions in the Field using Search Logs. CoRR (2020)
Nikitha Rao, Chetan Bansal, Joe Guan
Code Search Intent Classification Using Weak Supervision. CoRR (2020)
Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao
Studying Ransomware Attacks Using Web Search Logs. SIGIR (2020)
Nikitha Rao, Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan
Analyzing Web Search Behavior for Software Engineering Tasks. IEEE BigData (2020)
Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila
Product Insights: Analyzing Product Intents in Web Search. CoRR (2020)
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
DeCaf: diagnosing and triaging performance issues in large-scale cloud services. ICSE (SEIP) (2020)
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services. CoRR (2019)
Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan
The Usage of Web Search for Software Engineering. CoRR (2019)
Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. PROMISE (2019)
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Christian Bird, Chetan Bansal, Chandra Shekhar Maddila, Sonu Mehta, B. Ashok
WhoDo: automating reviewer suggestions at scale. ESEC/SIGSOFT FSE (2019)
Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
Building sankie: an AI platform for DevOps. BotSE@ICSE (2019)
Chandra Shekhar Maddila, Chetan Bansal, Nachiappan Nagappan
Predicting pull request completion time: a case study on large scale cloud services. ESEC/SIGSOFT FSE (2019)
Rahul Kumar, Chetan Bansal, Jakob Lichtenberg
Static Analysis Using the Cloud. iFMCloud@IFM (2016)
Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke
Hashtag Recommendation for Enterprise Applications. CIKM (2016)
Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal
CloudSDV Enabling Static Driver Verifier Using Microsoft Azure. IFM (2016)
Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling
Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing. SEC (2015)
Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis
Discovering concrete attacks on website authorization by formal analysis. J. Comput. Secur. 22 (4) (2014)
Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis
Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage. POST (2013)
Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis
Discovering Concrete Attacks on Website Authorization by Formal Analysis. CSF (2012)
Timothy K. Horiuchi, Chetan Bansal, Tarek M. Massoud
Binaural Intensity Comparison in the Echolocating Bat using Synaptic Conductance. ISCAS (2009)