AI-Driven Software Engineering

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Publications

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CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698

Publication

Welding Natural Language Queries to Analytics IRs with LLMs

Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel

(To appear in) International Conference on Innovative Data Systems | January 2024

Preprint Project
CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023

Publication

Fixing Rust Compilation Errors using LLMs

Pantazis Deligiannis, Akash Lal, Nikita Mehrotra, Aseem Rastogi

2308.05177 | October 2023

Published by arxiv

Publication

Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks

Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada

2023 Automated Software Engineering | September 2023

Publication

Frustrated with Code Quality Issues? LLMs can Help!

Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani

September 2023

Publication

PwR: Exploring the Role of Representations in Conversational Programming

Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani

September 2023

Preprint Github Project

Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context

Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani

NeurIPS 2023 | June 2023

Preprint

Publication

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698

Publication

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023

Publication

Frustrated with Code Quality Issues? LLMs can Help!

Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani

September 2023

Publication

PwR: Exploring the Role of Representations in Conversational Programming

Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani

September 2023

Preprint Github Project

Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context

Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani

NeurIPS 2023 | June 2023

Preprint

Publication
CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698

Publication

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023

Publication

Fixing Rust Compilation Errors using LLMs

Pantazis Deligiannis, Akash Lal, Nikita Mehrotra, Aseem Rastogi

2308.05177 | October 2023

Published by arxiv

Publication

Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks

Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada

2023 Automated Software Engineering | September 2023

Publication

Frustrated with Code Quality Issues? LLMs can Help!

Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani

September 2023

Publication

PwR: Exploring the Role of Representations in Conversational Programming

Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani

September 2023

Preprint Github Project

Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context

Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani

NeurIPS 2023 | June 2023

Preprint

Publication
Welding Natural Language Queries to Analytics IRs with LLMs

Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel

(To appear in) International Conference on Innovative Data Systems | January 2024

Preprint Project
PwR: Exploring the Role of Representations in Conversational Programming

Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani

September 2023

Preprint Github Project

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698

Publication
Welding Natural Language Queries to Analytics IRs with LLMs

Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel

(To appear in) International Conference on Innovative Data Systems | January 2024

Preprint Project

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023

Publication

Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks

Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada

2023 Automated Software Engineering | September 2023

Publication

Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context

Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani

NeurIPS 2023 | June 2023

Preprint

Publication
Frustrated with Code Quality Issues? LLMs can Help!

Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani

September 2023

Publication

PwR: Exploring the Role of Representations in Conversational Programming

Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani

September 2023

Preprint Github Project
Fixing Rust Compilation Errors using LLMs

Pantazis Deligiannis, Akash Lal, Nikita Mehrotra, Aseem Rastogi

2308.05177 | October 2023

Published by arxiv

Publication