Jordan Henkel

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

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

May 2023

Publication

Data Science Through the Looking Glass

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

SIGMOD Record | June 2022, Vol 51(2): pp. 30-37

Publication DOI

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

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

SIGMOD Record | March 2022

Publication

A Dataset of Dockerfiles

Jordan Henkel, Shuvendu Lahiri, Christian Bird, Thomas Reps

ICSE 2020 | July 2020

Publication

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

Jordan Henkel, Christian Bird, Shuvendu Lahiri, Thomas Reps

42nd International Conference on Software Engineering (ICSE'20) | May 2020

Publication

Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces

Jordan Henkel, Shuvendu Lahiri, Ben Liblit, Thomas Reps

Proceedings of the 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’18) | November 2018

Publication

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

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

May 2023

Publication

Data Science Through the Looking Glass

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

SIGMOD Record | June 2022, Vol 51(2): pp. 30-37

Publication DOI

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

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

SIGMOD Record | March 2022

Publication

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

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

May 2023

Publication

Data Science Through the Looking Glass

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

SIGMOD Record | June 2022, Vol 51(2): pp. 30-37

Publication DOI

A Dataset of Dockerfiles

Jordan Henkel, Shuvendu Lahiri, Christian Bird, Thomas Reps

ICSE 2020 | July 2020

Publication

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

Jordan Henkel, Christian Bird, Shuvendu Lahiri, Thomas Reps

42nd International Conference on Software Engineering (ICSE'20) | May 2020

Publication

Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces

Jordan Henkel, Shuvendu Lahiri, Ben Liblit, Thomas Reps

Proceedings of the 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’18) | November 2018

Publication

Data Science Through the Looking Glass

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

SIGMOD Record | June 2022, Vol 51(2): pp. 30-37

Publication DOI

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

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

SIGMOD Record | March 2022

Publication

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

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

May 2023

Publication

Data Science Through the Looking Glass

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

SIGMOD Record | June 2022, Vol 51(2): pp. 30-37

Publication DOI

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

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

SIGMOD Record | March 2022

Publication

A Dataset of Dockerfiles

Jordan Henkel, Shuvendu Lahiri, Christian Bird, Thomas Reps

ICSE 2020 | July 2020

Publication

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

Jordan Henkel, Christian Bird, Shuvendu Lahiri, Thomas Reps

42nd International Conference on Software Engineering (ICSE'20) | May 2020

Publication

Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces

Jordan Henkel, Shuvendu Lahiri, Ben Liblit, Thomas Reps

Proceedings of the 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’18) | November 2018

Publication