Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique. - Shruti Rijhwani; Royal Sequiera; Monojit Choudhury; Kalika Bali; Chandra Shekhar Maddila (ACL (1), 2017)

Orca: Differential Bug Localization in Large-Scale Services. - Ranjita Bhagwan; Rahul Kumar 002; Chandra Shekhar Maddila; Adithya Abraham Philip (OSDI, 2018)

Building sankie: an AI platform for DevOps. - Rahul Kumar 002; Chetan Bansal; Chandra Shekhar Maddila; Nitin Sharma 004; Shawn Martelock; Ravi Bhargava (BotSE@ICSE, 2019)

FastLane: test minimization for rapidly deployed large-scale online services. - Adithya Abraham Philip; Ranjita Bhagwan; Rahul Kumar 002; Chandra Shekhar Maddila; Nachiappan Nagappan (ICSE, 2019)

WhoDo: automating reviewer suggestions at scale. - Sumit Asthana; Rahul Kumar 002; Ranjita Bhagwan; Christian Bird; Chetan Bansal; Chandra Shekhar Maddila; Sonu Mehta; Balasubramanyan Ashok (ESEC/SIGSOFT FSE, 2019)

Predicting pull request completion time: a case study on large scale cloud services. - Chandra Shekhar Maddila; Chetan Bansal; Nachiappan Nagappan (ESEC/SIGSOFT FSE, 2019)

Product Insights: Analyzing Product Intents in Web Search. - Nikitha Rao; Chetan Bansal; Subhabrata Mukherjee; Chandra Shekhar Maddila (CIKM, 2020)

Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. - Sonu Mehta; Ranjita Bhagwan; Rahul Kumar 002; Chetan Bansal; Chandra Shekhar Maddila; Balasubramanyan Ashok; Sumit Asthana; Christian Bird; Aditya Kumar (NSDI, 2020)

Studying Ransomware Attacks Using Web Search Logs. - Chetan Bansal; Pantazis Deligiannis; Chandra Shekhar Maddila; Nikitha Rao (SIGIR, 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)

The SPACE of developer productivity. - Nicole Forsgren; Margaret-Anne D. Storey; Chandra Shekhar Maddila; Thomas Zimmermann 001; Brian Houck; Jenna L. Butler (Commun. ACM, 2021)

ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. - Chandra Shekhar Maddila; Nachiappan Nagappan; Christian Bird; Georgios Gousios; Arie van Deursen (CoRR, 2021)

Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale. - Chandra Shekhar Maddila; Apoorva Agrawal; Thomas Zimmermann 001; Nicole Forsgren; Kim Herzig; Arie van Deursen (CoRR, 2021)

The SPACE of Developer Productivity: There's more to it than you think. - Nicole Forsgren; Margaret-Anne D. Storey; Chandra Shekhar Maddila; Thomas Zimmermann 001; Brian Houck; Jenna L. Butler (ACM Queue, 2021)

What are Weak Links in the npm Supply Chain? - Nusrat Zahan; Thomas Zimmermann 001; Patrice Godefroid; Brendan Murphy; Chandra Shekhar Maddila; Laurie A. Williams (ICSE (SEIP), 2022)

Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale. - Chandra Shekhar Maddila; Suhas Shanbhogue; Apoorva Agrawal; Thomas Zimmermann 001; Chetan Bansal; Nicole Forsgren; Divyanshu Agrawal; Kim Herzig; Arie van Deursen (ESEC/SIGSOFT FSE, 2022)

Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations. - Jiyang Zhang 003; Chandra Shekhar Maddila; Ram Bairi; Christian Bird; Ujjwal Raizada; Apoorva Agrawal; Yamini Jhawar; Kim Herzig; Arie van Deursen (CoRR, 2022)

A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic. - Denae Ford; Margaret-Anne D. Storey; Thomas Zimmermann 001; Christian Bird; Sonia Jaffe; Chandra Shekhar Maddila; Jenna L. Butler; Brian Houck; Nachiappan Nagappan (ACM Trans. Softw. Eng. Methodol., 2022)

ConE: A Concurrent Edit Detection Tool for Large-scale Software Development. - Chandra Shekhar Maddila; Nachiappan Nagappan; Christian Bird; Georgios Gousios; Arie van Deursen (ACM Trans. Softw. Eng. Methodol., 2022)

Recommender Systems for DevOps. - Chandra Shekhar Maddila (2022)

Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft. - Jiyang Zhang 003; Chandra Shekhar Maddila; Ram Bairi; Christian Bird; Ujjwal Raizada; Apoorva Agrawal; Yamini Jhawar; Kim Herzig; Arie van Deursen (ICSE-SEIP, 2023)

CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring. - Vijayaraghavan Murali; Chandra Shekhar Maddila; Imad Ahmad; Michael Bolin; Daniel Cheng; Negar Ghorbani; Renuka Fernandez; Nachiappan Nagappan (CoRR, 2023)

Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders. - Peter C. Rigby; Seth Rogers; Sadruddin Saleem; Parth Suresh; Daniel Suskin; Patrick Riggs; Chandra Shekhar Maddila; Nachiappan Nagappan (CoRR, 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., 2023)

Multi-line AI-Assisted Code Authoring. - 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 (SIGSOFT FSE Companion, 2024)

AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation. - Vijayaraghavan Murali; Chandra Shekhar Maddila; Imad Ahmad; Michael Bolin; Daniel Cheng; Negar Ghorbani; Renuka Fernandez; Nachiappan Nagappan; Peter C. Rigby (Proc. ACM Softw. Eng., 2024)

Moving Faster and Reducing Risk: Using LLMs in Release Deployment. - Rui Abreu 001; Vijayaraghavan Murali; Peter C. Rigby; Chandra Shekhar Maddila; Weiyan Sun; Jun Ge; Kaavya Chinniah; Audris Mockus; Megh Mehta; Nachiappan Nagappan (SEIP@ICSE, 2025)

AI-Assisted SQL Authoring at Industry Scale. - Chandra Shekhar Maddila; Negar Ghorbani; Kosay Jabre; Vijayaraghavan Murali; Edwin Kim; Parth Thakkar; Nikolay Pavlovich Laptev; Olivia Harman; Diana Hsu; Rui Abreu 001; Peter C. Rigby (SEIP@ICSE, 2025)

AI-Assisted Fixes to Code Review Comments at Scale. - Chandra Shekhar Maddila; Negar Ghorbani; James Saindon; Parth Thakkar; Vijayaraghavan Murali; Rui Abreu 001; Jingyue Shen; Brian Zhou; Nachiappan Nagappan; Peter C. Rigby (CoRR, 2025)

Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback. - 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; et al. (CoRR, 2025)