Jordan Henkel - RankMe

19 papers A* 2A 4Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts. CoRR Dhia Elhaq Rzig, Dhruba Jyoti Paul, Kaiser Pister, Jordan Henkel, Foyzul Hassan
2025	A	`conf`	Developer Prompts in Practice: An Empirical Study of Bias, Security, and Optimization. ESEM Dhia Elhaq Rzig, Dhruba Jyothi Paul, Kaiser Pister, Jordan Henkel, Foyzul Hassan
2024	A	`conf`	NL2SQL is a solved problem... Not! CIDR 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
2024	J	`jnl`	ReAcTable: Enhancing ReAct for Table Question Answering. Proc. VLDB Endow. Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel
2023	J	`jnl`	From Words to Code: Harnessing Data for Program Synthesis from Natural Language. CoRR 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
2023	J	`jnl`	ReAcTable: Enhancing ReAct for Table Question Answering. CoRR Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel
2022	J	`jnl`	Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 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
2022	A	`conf`	Semantic Robustness of Models of Source Code. SANER Jordan Henkel, Goutham Ramakrishnan, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas W. Reps
2021	A*	`conf`	Shipwright: A Human-in-the-Loop System for Dockerfile Repair. ICSE Jordan Henkel, Denini Silva, Leopoldo Teixeira, Marcelo d'Amorim, Thomas W. Reps
2021	—	`conf`	Shipwright: A Human-in-the-Loop System for Dockerfile Repair. ICSE (Companion Volume) Jordan Henkel, Denini Silva, Leopoldo Teixeira, Marcelo d'Amorim, Thomas W. Reps
2021	J	`jnl`	Shipwright: A Human-in-the-Loop System for Dockerfile Repair. CoRR Jordan Henkel, Denini Silva, Leopoldo Teixeira, Marcelo d'Amorim, Thomas W. Reps
2020	A	`conf`	A Dataset of Dockerfiles. MSR Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps
2020	J	`jnl`	A Dataset of Dockerfiles. CoRR Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps
2020	J	`jnl`	Learning from, Understanding, and Supporting DevOps Artifacts for Docker. CoRR Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps
2020	A*	`conf`	Learning from, understanding, and supporting DevOps artifacts for docker. ICSE Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps
2020	J	`jnl`	Semantic Robustness of Models of Source Code. CoRR Goutham Ramakrishnan, Jordan Henkel, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas W. Reps
2019	J	`jnl`	Enabling Open-World Specification Mining via Unsupervised Learning. CoRR Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps
2018	J	`jnl`	Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. CoRR Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps
2018	—	`conf`	Code vectors: understanding programs through embedded abstracted symbolic traces. ESEC/SIGSOFT FSE Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps