Chandra Shekhar Maddila

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Bug Localization

Intra Organizational

Top Venues

ACM Trans. Softw. Eng. Methodol.

ESEC/SIGSOFT FSE

Publications

Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, Peter C. Rigby
AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation. Proc. ACM Softw. Eng. 1 (FSE) (2024)
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
Multi-line AI-Assisted Code Authoring. SIGSOFT FSE Companion (2024)
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
AI-Assisted SQL Authoring at Industry Scale. CoRR (2024)
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
Multi-line AI-assisted Code Authoring. CoRR (2024)
Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan
CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring. CoRR (2023)
Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft. ICSE-SEIP (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)
Peter C. Rigby, Seth Rogers, Sadruddin Saleem, Parth Suresh, Daniel Suskin, Patrick Riggs, Chandra Shekhar Maddila, Nachiappan Nagappan
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders. CoRR (2023)
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)
Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan
A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic. ACM Trans. Softw. Eng. Methodol. 31 (2) (2022)
Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations. CoRR (2022)
Nusrat Zahan, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila, Laurie A. Williams
What are Weak Links in the npm Supply Chain? ICSE (SEIP) (2022)
Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen
ConE: A Concurrent Edit Detection Tool for Large-scale Software Development. ACM Trans. Softw. Eng. Methodol. 31 (2) (2022)
Nicole Forsgren, Margaret-Anne D. Storey, Chandra Shekhar Maddila, Thomas Zimmermann, Brian Houck, Jenna L. Butler
The SPACE of developer productivity. Commun. ACM 64 (6) (2021)
Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen
ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. CoRR (2021)
Chandra Shekhar Maddila, Apoorva Agrawal, Thomas Zimmermann, Nicole Forsgren, Kim Herzig, Arie van Deursen
Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale. CoRR (2021)
Nicole Forsgren, Margaret-Anne D. Storey, Chandra Shekhar Maddila, Thomas Zimmermann, Brian Houck, Jenna L. Butler
The SPACE of Developer Productivity: There's more to it than you think. ACM Queue 19 (1) (2021)
Nusrat Zahan, Laurie A. Williams, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila
What are Weak Links in the npm Supply Chain? CoRR (2021)
Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila
Product Insights: Analyzing Product Intents in Web Search. CIKM (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)
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)
Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan
A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic. CoRR (2020)
Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao
Studying Ransomware Attacks Using Web Search Logs. SIGIR (2020)
Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila
Product Insights: Analyzing Product Intents in Web Search. CoRR (2020)
Adithya Abraham Philip, Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Nachiappan Nagappan
FastLane: test minimization for rapidly deployed large-scale online services. ICSE (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)
Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Adithya Abraham Philip
Orca: Differential Bug Localization in Large-Scale Services. USENIX Annual Technical Conference (2019)
Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Adithya Abraham Philip
Orca: Differential Bug Localization in Large-Scale Services. OSDI (2018)
Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali, Chandra Shekhar Maddila
Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique. ACL (1) (2017)