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Vijayaraghavan Murali
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2020 – today
- 2024
- [j2]Vijayaraghavan Murali
, Chandra Shekhar Maddila, Imad Ahmad
AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation. Proc. ACM Softw. Eng. 1(FSE): 1066-1085 (2024) - [c22]Jürgen Cito, Isil Dillig, Vijayaraghavan Murali, Satish Chandra:
Counterfactual Explanations for Models of Code. Software Engineering 2024: 91-92 - [c21]Omer Dunay
Multi-line AI-Assisted Code Authoring. SIGSOFT FSE Companion 2024: 150-160 - [i14]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) - [i13]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) - [i12]Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan:
Moving Faster and Reducing Risk: Using LLMs in Release Deployment. CoRR abs/2410.06351 (2024) - 2023
- [c20]Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer:
Learning to Learn to Predict Performance Regressions in Production at Meta. AST 2023: 56-67 - [i11]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) - 2022
- [c19]Jürgen Cito, Isil Dillig, Vijayaraghavan Murali, Satish Chandra:
Counterfactual Explanations for Models of Code. ICSE (SEIP) 2022: 125-134 - [c18]Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye:
Improving Code Autocompletion with Transfer Learning. ICSE (SEIP) 2022: 161-162 - [c17]Gökalp Demirci, Vijayaraghavan Murali, Imad Ahmad, Rajeev Rao, Gareth Ari Aye:
Detecting Privacy-Sensitive Code Changes with Language Modeling. MSR 2022: 761-762 - [i10]Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer:
Learning to Learn to Predict Performance Regressions in Production at Meta. CoRR abs/2208.04351 (2022) - 2021
- [c16]Vijayaraghavan Murali, Lee Gross, Rebecca Qian, Satish Chandra:
Industry-Scale IR-Based Bug Localization: A Perspective from Facebook. ICSE (SEIP) 2021: 188-197 - [c15]Vijayaraghavan Murali, Edward Yao, Umang Mathur
Scalable Statistical Root Cause Analysis on App Telemetry. ICSE (SEIP) 2021: 288-297 - [c14]Jürgen Cito, Isil Dillig, Seohyun Kim, Vijayaraghavan Murali, Satish Chandra:
Explaining mispredictions of machine learning models using rule induction. ESEC/SIGSOFT FSE 2021: 716-727 - [i9]Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye:
Improving Code Autocompletion with Transfer Learning. CoRR abs/2105.05991 (2021) - [i8]Jürgen Cito, Isil Dillig, Vijayaraghavan Murali, Satish Chandra:
Counterfactual Explanations for Models of Code. CoRR abs/2111.05711 (2021) - 2020
- [c13]Rebecca Qian, Yang Yu, Wonhee Park, Vijayaraghavan Murali, Stephen Fink, Satish Chandra:
Debugging crashes using continuous contrast set mining. ICSE (SEIP) 2020: 61-70 - [c12]Michael Pradel, Vijayaraghavan Murali, Rebecca Qian, Mateusz Machalica, Erik Meijer, Satish Chandra:
Scaffle: bug localization on millions of files. ISSTA 2020: 225-236 - [i7]Vijayaraghavan Murali, Edward Yao, Umang Mathur, Satish Chandra:
Scalable Statistical Root Cause Analysis on App Telemetry. CoRR abs/2010.09974 (2020) - [i6]Vijayaraghavan Murali, Lee Gross, Rebecca Qian, Satish Chandra:
Industry-scale IR-based Bug Localization: A Perspective from Facebook. CoRR abs/2010.09977 (2020)
2010 – 2019
- 2019
- [c11]Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, Satish Chandra:
Neural query expansion for code search. MAPL@PLDI 2019: 29-37 - [i5]Rebecca Qian, Yang Yu, Wonhee Park, Vijayaraghavan Murali, Stephen Fink, Satish Chandra:
Debugging Crashes using Continuous Contrast Set Mining. CoRR abs/1911.04768 (2019) - 2018
- [c10]Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine:
Neural Sketch Learning for Conditional Program Generation. ICLR 2018 - [c9]Abhinav Verma
Programmatically Interpretable Reinforcement Learning. ICML 2018: 5052-5061 - [i4]Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri:
Programmatically Interpretable Reinforcement Learning. CoRR abs/1804.02477 (2018) - 2017
- [j1]Binhang Yuan, Vijayaraghavan Murali, Christopher M. Jermaine:
Abridging source code. Proc. ACM Program. Lang. 1(OOPSLA): 58:1-58:26 (2017) - [c8]Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine:
Bayesian specification learning for finding API usage errors. ESEC/SIGSOFT FSE 2017: 151-162 - [i3]Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine:
Finding Likely Errors with Bayesian Specifications. CoRR abs/1703.01370 (2017) - [i2]Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine:
Bayesian Sketch Learning for Program Synthesis. CoRR abs/1703.05698 (2017) - 2016
- [i1]Duc-Hiep Chu, Joxan Jaffar, Vijayaraghavan Murali:
Incremental Quantitative Analysis on Dynamic Costs. CoRR abs/1607.02238 (2016) - 2014
- [c7]Duc-Hiep Chu, Joxan Jaffar, Vijayaraghavan Murali:
Lazy Symbolic Execution for Enhanced Learning. RV 2014: 323-339 - [c6]Joxan Jaffar, Vijayaraghavan Murali:
A path-sensitively sliced control flow graph. SIGSOFT FSE 2014: 133-143 - [c5]Vijayaraghavan Murali, Nishant Sinha, Emina Torlak, Satish Chandra:
What Gives? A Hybrid Algorithm for Error Trace Explanation. VSTTE 2014: 270-286 - 2013
- [c4]Joxan Jaffar, Vijayaraghavan Murali, Jorge A. Navas:
Boosting concolic testing via interpolation. ESEC/SIGSOFT FSE 2013: 48-58 - 2012
- [c3]Joxan Jaffar, Vijayaraghavan Murali, Jorge A. Navas, Andrew E. Santosa:
TRACER: A Symbolic Execution Tool for Verification. CAV 2012: 758-766 - [c2]Joxan Jaffar, Vijayaraghavan Murali, Jorge A. Navas, Andrew E. Santosa:
Path-Sensitive Backward Slicing. SAS 2012: 231-247
2000 – 2009
- 2009
- [c1]Verdi March, Vijayaraghavan Murali, Yong Meng Teo
Towards Predictive Modeling of Message-Passing Communication. HPCC 2009: 482-487
Coauthor Index
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