Jordan Henkel

According to our database, Jordan Henkel authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

ReAcTable: Enhancing ReAct for Table Question Answering.

Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel

Proc. VLDB Endow., April, 2024

NL2SQL is a solved problem... Not!

Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

From Words to Code: Harnessing Data for Program Synthesis from Natural Language.

Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, K. Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari

CoRR, 2023

2022

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos

SIGMOD Rec., 2022

Semantic Robustness of Models of Source Code.

Jordan Henkel, Goutham Ramakrishnan, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas W. Reps

Proceedings of the IEEE International Conference on Software Analysis, 2022

2021

Shipwright: A Human-in-the-Loop System for Dockerfile Repair.

Jordan Henkel, Denini Silva, Leopoldo Teixeira, Marcelo d'Amorim, Thomas W. Reps

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

2020

ICSE 2020 Artifact for: Learning from, Understanding, and Supporting DevOps Artifacts for Docker.

Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps

Dataset, January, 2020

A Dataset of Dockerfiles.

Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Learning from, understanding, and supporting DevOps artifacts for docker.

Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Enabling Open-World Specification Mining via Unsupervised Learning.

Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps

CoRR, 2019

2018

Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces.

Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps

Dataset, August, 2018

Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces.

Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps

Dataset, June, 2018

Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces.

Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps

Dataset, June, 2018

Code vectors: understanding programs through embedded abstracted symbolic traces.

Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018