Chandra Shekhar Maddila

39 papers A* 3A 1Misc 1Journal 22Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders.
ACM Trans. Softw. Eng. Methodol.
Peter C. Rigby, Seth Rogers, Sadruddin Saleem, Parth Suresh, Daniel Suskin, Patrick Riggs, Chandra Shekhar Maddila, Nachiappan Nagappan, Audris Mockus
2025 J jnl
AI-Assisted Fixes to Code Review Comments at Scale.
CoRR
Chandra Shekhar Maddila, Negar Ghorbani, James Saindon, Parth Thakkar, Vijayaraghavan Murali, Rui Abreu, Jingyue Shen, Brian Zhou, Nachiappan Nagappan, Peter C. Rigby
2025 — conf
AI-Assisted SQL Authoring at Industry Scale.
SEIP@ICSE
Chandra Shekhar Maddila, Negar Ghorbani, Kosay Jabre, Vijayaraghavan Murali, Edwin Kim, Parth Thakkar, Nikolay Pavlovich Laptev, Olivia Harman, Diana Hsu, Rui Abreu, Peter C. Rigby
2025 J jnl
Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback.
CoRR
Chandra Shekhar Maddila, Adam Tait, Claire Chang, Daniel Cheng, Nauman Ahmad, Vijayaraghavan Murali, Marshall Roch, Arnaud Avondet, Aaron Meltzer, Victor Montalvao, Michael Hopko, Chris Waterson, Parth Thakkar, Renuka Fernandez, Kristian Kristensen, Sivan Barzily, Sherry Chen, Rui Abreu, Nachiappan Nagappan, Payam Shodjai, Killian Murphy, James Everingham, Aparna Ramani, Peter C. Rigby
2025 — conf
Moving Faster and Reducing Risk: Using LLMs in Release Deployment.
SEIP@ICSE
Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan
2024 J jnl
AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation.
Proc. ACM Softw. Eng.
Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, Peter C. Rigby
2024 J jnl
AI-Assisted SQL Authoring at Industry Scale.
CoRR
Chandra Shekhar Maddila, Negar Ghorbani, Kosay Jabre, Vijayaraghavan Murali, Edwin Kim, Parth Thakkar, Nikolay Pavlovich Laptev, Olivia Harman, Diana Hsu, Rui Abreu, Peter C. Rigby
2024 J jnl
Moving Faster and Reducing Risk: Using LLMs in Release Deployment.
CoRR
Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan
2024 — conf
Multi-line AI-Assisted Code Authoring.
SIGSOFT FSE Companion
Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan
2024 J jnl
Multi-line AI-assisted Code Authoring.
CoRR
Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan
2023 J jnl
CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring.
CoRR
Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan
2023 J jnl
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders.
CoRR
Peter C. Rigby, Seth Rogers, Sadruddin Saleem, Parth Suresh, Daniel Suskin, Patrick Riggs, Chandra Shekhar Maddila, Nachiappan Nagappan
2023 J jnl
Nudge: Accelerating Overdue Pull Requests toward Completion.
ACM Trans. Softw. Eng. Methodol.
Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen
2023 — conf
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft.
ICSE-SEIP
Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen
2022 J jnl
A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic.
ACM Trans. Softw. Eng. Methodol.
Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan
2022 J jnl
ConE: A Concurrent Edit Detection Tool for Large-scale Software Development.
ACM Trans. Softw. Eng. Methodol.
Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen
2022 — conf
Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale.
ESEC/SIGSOFT FSE
Chandra Shekhar Maddila, Suhas Shanbhogue, Apoorva Agrawal, Thomas Zimmermann, Chetan Bansal, Nicole Forsgren, Divyanshu Agrawal, Kim Herzig, Arie van Deursen
2022 — —
Recommender Systems for DevOps.
Chandra Shekhar Maddila
2022 J jnl
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations.
CoRR
Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen
2022 — conf
What are Weak Links in the npm Supply Chain?
ICSE (SEIP)
Nusrat Zahan, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila, Laurie A. Williams
2021 J jnl
ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development.
CoRR
Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen
2021 J jnl
Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale.
CoRR
Chandra Shekhar Maddila, Apoorva Agrawal, Thomas Zimmermann, Nicole Forsgren, Kim Herzig, Arie van Deursen
2021 J jnl
The SPACE of Developer Productivity: There's more to it than you think.
ACM Queue
Nicole Forsgren, Margaret-Anne D. Storey, Chandra Shekhar Maddila, Thomas Zimmermann, Brian Houck, Jenna L. Butler
2021 J jnl
The SPACE of developer productivity.
Commun. ACM
Nicole Forsgren, Margaret-Anne D. Storey, Chandra Shekhar Maddila, Thomas Zimmermann, Brian Houck, Jenna L. Butler
2021 J jnl
What are Weak Links in the npm Supply Chain?
CoRR
Nusrat Zahan, Laurie A. Williams, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila
2020 J jnl
A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic.
CoRR
Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan
2020 J jnl
Nudge: Accelerating Overdue Pull Requests Towards Completion.
CoRR
Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen
2020 A conf
Product Insights: Analyzing Product Intents in Web Search.
CIKM
Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila
2020 J jnl
Product Insights: Analyzing Product Intents in Web Search.
CoRR
Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila
2020 Misc conf
Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis.
NSDI
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Balasubramanyan Ashok, Sumit Asthana, Christian Bird, Aditya Kumar
2020 A* conf
Studying Ransomware Attacks Using Web Search Logs.
SIGIR
Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao
2020 J jnl
Studying Ransomware Attacks Using Web Search Logs.
CoRR
Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao
2019 — conf
Building sankie: an AI platform for DevOps.
BotSE@ICSE
Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
2019 A* conf
FastLane: test minimization for rapidly deployed large-scale online services.
ICSE
Adithya Abraham Philip, Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Nachiappan Nagappan
2019 — conf
Orca: Differential Bug Localization in Large-Scale Services.
USENIX ATC
Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Adithya Abraham Philip
2019 — conf
Predicting pull request completion time: a case study on large scale cloud services.
ESEC/SIGSOFT FSE
Chandra Shekhar Maddila, Chetan Bansal, Nachiappan Nagappan
2019 — conf
WhoDo: automating reviewer suggestions at scale.
ESEC/SIGSOFT FSE
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Christian Bird, Chetan Bansal, Chandra Shekhar Maddila, Sonu Mehta, Balasubramanyan Ashok
2018 A* conf
Orca: Differential Bug Localization in Large-Scale Services.
OSDI
Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Adithya Abraham Philip
2017 — conf
Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique.
ACL (1)
Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali, Chandra Shekhar Maddila