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2020 – today

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2024
[j6]
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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): 1066-1085 (2024)
[c14]
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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: 150-160
[i12]
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  - journals/corr/abs-2402-04141
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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 abs/2402.04141 (2024)
[i11]
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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 abs/2407.13280 (2024)
2023
[j5]
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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): 35:1-35:30 (2023)
[c13]
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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: 162-172
[i10]
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  - journals/corr/abs-2305-12050
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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 abs/2305.12050 (2023)
[i9]
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  - journals/corr/abs-2312-17169
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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 abs/2312.17169 (2023)
2022
[b1]
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Chandra Shekhar Maddila:
Recommender Systems for DevOps. Delft University of Technology, Netherlands, 2022
[j4]
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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): 22:1-22:26 (2022)
[j3]
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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): 27:1-27:37 (2022)
[c12]
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  - conf/icse/ZahanZGMMW22
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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: 331-340
[c11]
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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: 1246-1256
[i8]
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  - journals/corr/abs-2202-02385
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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 abs/2202.02385 (2022)
2021
[j2]
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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): 46-53 (2021)
[j1]
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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): 20-48 (2021)
[i7]
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  - journals/corr/abs-2101-06542
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Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. CoRR abs/2101.06542 (2021)
[i6]
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  - journals/corr/abs-2110-08403
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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 abs/2110.08403 (2021)
[i5]
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  - journals/corr/abs-2112-10165
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Nusrat Zahan, Laurie A. Williams, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila:
What are Weak Links in the npm Supply Chain? CoRR abs/2112.10165 (2021)
2020
[c10]
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  - conf/cikm/RaoBMM20
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Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CIKM 2020: 2189-2192
[c9]
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Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Balasubramanyan Ashok, Sumit Asthana, Christian Bird, Aditya Kumar:
Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. NSDI 2020: 435-448
[c8]
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  - conf/sigir/BansalDMR20
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Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. SIGIR 2020: 1517-1520
[i4]
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  - journals/corr/abs-2005-00517
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Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. CoRR abs/2005.00517 (2020)
[i3]
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  - journals/corr/abs-2005-08591
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Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CoRR abs/2005.08591 (2020)
[i2]
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  - journals/corr/abs-2008-11147
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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 abs/2008.11147 (2020)
[i1]
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  - journals/corr/abs-2011-12468
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Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests Towards Completion. CoRR abs/2011.12468 (2020)

2010 – 2019

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2019
[c7]
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  - conf/icse/KumarBMSMB19
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Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava:
Building sankie: an AI platform for DevOps. BotSE@ICSE 2019: 48-53
[c6]
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  - conf/icse/PhilipBKMN19
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Adithya Abraham Philip, Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Nachiappan Nagappan:
FastLane: test minimization for rapidly deployed large-scale online services. ICSE 2019: 408-418
[c5]
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  - conf/sigsoft/MaddilaBN19
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Chandra Shekhar Maddila, Chetan Bansal, Nachiappan Nagappan:
Predicting pull request completion time: a case study on large scale cloud services. ESEC/SIGSOFT FSE 2019: 874-882
[c4]
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  - conf/sigsoft/AsthanaKBBBMMA19
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Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Christian Bird, Chetan Bansal, Chandra Shekhar Maddila, Sonu Mehta, Balasubramanyan Ashok:
WhoDo: automating reviewer suggestions at scale. ESEC/SIGSOFT FSE 2019: 937-945
[c3]
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Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Adithya Abraham Philip:
Orca: Differential Bug Localization in Large-Scale Services. USENIX ATC 2019
2018
[c2]
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  - conf/osdi/BhagwanKMP18
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Ranjita Bhagwan, Rahul Kumar, Chandra Shekhar Maddila, Adithya Abraham Philip:
Orca: Differential Bug Localization in Large-Scale Services. OSDI 2018: 493-509
2017
[c1]
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  - conf/acl/RijhwaniSCBM17
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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: 1971-1982

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