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
出版物
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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
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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
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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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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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FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
International Conference on Software Engineering | May 2019
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Orca: Differential Bug Localization in Large-Scale Services
Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip
13th USENIX Symposium on Operating Systems Design and Implementation | October 2018
Won the Jay Lepreau Best Paper Award
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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
-
FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
International Conference on Software Engineering | May 2019
-
-
-
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
-
FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
International Conference on Software Engineering | May 2019
-
Orca: Differential Bug Localization in Large-Scale Services
Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip
13th USENIX Symposium on Operating Systems Design and Implementation | October 2018
Won the Jay Lepreau Best Paper Award
-
-
-
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
-
-
-
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
-
FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
International Conference on Software Engineering | May 2019
-
Orca: Differential Bug Localization in Large-Scale Services
Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip
13th USENIX Symposium on Operating Systems Design and Implementation | October 2018
Won the Jay Lepreau Best Paper Award
-