Vijayaraghavan Murali

According to our database, Vijayaraghavan Murali authored at least 30 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan

CoRR, 2024

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, Peter C. Rigby

CoRR, 2024

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

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Counterfactual Explanations for Models of Code.

Jürgen Cito, Isil Dillig, Vijayaraghavan Murali, Satish Chandra

Proceedings of the Software Engineering 2024, Fachtagung des GI-Fachbereichs Softwaretechnik, Linz, Austria, February 26, 2024

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

Learning to Learn to Predict Performance Regressions in Production at Meta.

Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer

Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

2022

Detecting Privacy-Sensitive Code Changes with Language Modeling.

Gökalp Demirci, Vijayaraghavan Murali, Imad Ahmad, Rajeev Rao, Gareth Ari Aye

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Improving Code Autocompletion with Transfer Learning.

Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

2021

Explaining mispredictions of machine learning models using rule induction.

Jürgen Cito, Isil Dillig, Seohyun Kim, Vijayaraghavan Murali, Satish Chandra

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Scalable Statistical Root Cause Analysis on App Telemetry.

Vijayaraghavan Murali, Edward Yao, Umang Mathur, Satish Chandra

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

Industry-Scale IR-Based Bug Localization: A Perspective from Facebook.

Vijayaraghavan Murali, Lee Gross, Rebecca Qian, Satish Chandra

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

2020

Scaffle: bug localization on millions of files.

Michael Pradel, Vijayaraghavan Murali, Rebecca Qian, Mateusz Machalica, Erik Meijer, Satish Chandra

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Debugging crashes using <i>continuous</i> contrast set mining.

Rebecca Qian, Yang Yu, Wonhee Park, Vijayaraghavan Murali, Stephen Fink, Satish Chandra

Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

2019

Debugging Crashes using Continuous Contrast Set Mining.

Rebecca Qian, Yang Yu, Wonhee Park, Vijayaraghavan Murali, Stephen Fink, Satish Chandra

CoRR, 2019

Neural query expansion for code search.

Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, Satish Chandra

Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2019

2018

Programmatically Interpretable Reinforcement Learning.

Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Sketch Learning for Conditional Program Generation.

Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Abridging source code.

Binhang Yuan, Vijayaraghavan Murali, Christopher M. Jermaine

Proc. ACM Program. Lang., 2017

Bayesian Sketch Learning for Program Synthesis.

Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine

CoRR, 2017

Finding Likely Errors with Bayesian Specifications.

Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine

CoRR, 2017

Bayesian specification learning for finding API usage errors.

Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

2016

Incremental Quantitative Analysis on Dynamic Costs.

Duc-Hiep Chu, Joxan Jaffar, Vijayaraghavan Murali

CoRR, 2016

2014

What Gives? A Hybrid Algorithm for Error Trace Explanation.

Vijayaraghavan Murali, Nishant Sinha, Emina Torlak, Satish Chandra

Proceedings of the Verified Software: Theories, Tools and Experiments, 2014

A path-sensitively sliced control flow graph.

Joxan Jaffar, Vijayaraghavan Murali

Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014

Lazy Symbolic Execution for Enhanced Learning.

Duc-Hiep Chu, Joxan Jaffar, Vijayaraghavan Murali

Proceedings of the Runtime Verification - 5th International Conference, 2014

2013

Boosting concolic testing via interpolation.

Joxan Jaffar, Vijayaraghavan Murali, Jorge A. Navas

Proceedings of the Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, 2013

2012

Path-Sensitive Backward Slicing.

Joxan Jaffar, Vijayaraghavan Murali, Jorge A. Navas, Andrew E. Santosa

Proceedings of the Static Analysis - 19th International Symposium, 2012

TRACER: A Symbolic Execution Tool for Verification.

Joxan Jaffar, Vijayaraghavan Murali, Jorge A. Navas, Andrew E. Santosa

Proceedings of the Computer Aided Verification - 24th International Conference, 2012

2009

Towards Predictive Modeling of Message-Passing Communication.

Verdi March, Vijayaraghavan Murali, Yong Meng Teo, Simon See, James T. Himer

Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009