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Published Date

Tool

PromptPex

PromptPex is a tool for exploring and testing AI model prompts. PromptPex is intended to be used by developers who have prompts as part of their code base. PromptPex treats a prompt as a function…

GitHub

Publication

MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud

Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian

Proc. VLDB Endow. | October 2024, Vol 17: pp. 4269-4272

Publication

Predictability of identifier naming with Copilot: A case study for mixed-initiative programming tools

Michael Jing Long Lee, Advait Sarkar, Alan F. Blackwell

Proceedings of the 35th Annual Conference of the Psychology of Programming Interest Group (PPIG 2024) | October 2024

Project Project

Publication

Leveraging LLMs for Program Verification

Adharsh Kamath, Aditya Senthilnathan, Saikat Chakraborty, Pantazis Deligiannis, Shuvendu Lahiri, Akash Lal, Aseem Rastogi, Subhajit Roy, Rahul Sharma

Formal Methods in Computer-Aided Design (FMCAD) | October 2024

Publication

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

October 2024

Project

Publication

Context Pruning for More Robust SMT-based Program Verification

Yi Zhou, Jay Bosamiya, Jessica Li, Marijn Heule, Bryan Parno

Formal Methods in Computer-Aided Design (FMCAD) | October 2024

Tool

AutoVerus

Automatically synthesize proof annotations that help Verus prove the correctness of Rust code.

GitHub Publication Publication

Publication

One-to-many testing for code generation from (just) natural language

Mansi Uniyal, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le

Findings of EMNLP 2024 | September 2024

Publication

RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages

Avik Dutta, Mukul Singh, Sumit Gulwani, Vu Le, Gust Verbruggen

EMNLP 2024 | September 2024

Tool

This dataset is the Version 2.0 of the FStar Data Set. This dataset’s primary objective is to train and evaluate Proof-oriented Programming with AI (PoPAI, in short). Given a specification of a program and proof…

Access Publication

Programming languages and software engineering

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