Workshop MAPS 2022 – Author Index

A B C D E H K L M N O Q R S T W X Z

	Aftandilian, Edward	MAPS '22: "Productivity Assessment of ..." Productivity Assessment of Neural Code Completion Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian (GitHub, USA) @InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version
	Alipour, Mohammad Amin	MAPS '22: "Syntax-Guided Program Reduction ..." Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models Md Rafiqul Islam Rabin, Aftab Hussain, and Mohammad Amin Alipour (University of Houston, USA) @InProceedings{MAPS22p71, author = {Md Rafiqul Islam Rabin and Aftab Hussain and Mohammad Amin Alipour}, title = {Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {71-70}, doi = {10.1145/3520312.3534869}, year = {2022}, } Publisher's Version Published Artifact Artifacts Available
	Alon, Uri	MAPS '22: "A Systematic Evaluation of ..." A Systematic Evaluation of Large Language Models of Code Frank F. Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn (Carnegie Mellon University, USA) @InProceedings{MAPS22p1, author = {Frank F. Xu and Uri Alon and Graham Neubig and Vincent Josua Hellendoorn}, title = {A Systematic Evaluation of Large Language Models of Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {1-0}, doi = {10.1145/3520312.3534862}, year = {2022}, } Publisher's Version
	Armengol-Estapé, Jordi	MAPS '22: "ExeBench: An ML-Scale Dataset ..." ExeBench: An ML-Scale Dataset of Executable C Functions Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, and Michael F. P. O'Boyle (University of Edinburgh, UK) @InProceedings{MAPS22p51, author = {Jordi Armengol-Estapé and Jackson Woodruff and Alexander Brauckmann and José Wesley de Souza Magalhães and Michael F. P. O'Boyle}, title = {ExeBench: An ML-Scale Dataset of Executable C Functions}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {51-50}, doi = {10.1145/3520312.3534867}, year = {2022}, } Publisher's Version Archive submitted (330 kB)
	Brauckmann, Alexander	MAPS '22: "ExeBench: An ML-Scale Dataset ..." ExeBench: An ML-Scale Dataset of Executable C Functions Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, and Michael F. P. O'Boyle (University of Edinburgh, UK) @InProceedings{MAPS22p51, author = {Jordi Armengol-Estapé and Jackson Woodruff and Alexander Brauckmann and José Wesley de Souza Magalhães and Michael F. P. O'Boyle}, title = {ExeBench: An ML-Scale Dataset of Executable C Functions}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {51-50}, doi = {10.1145/3520312.3534867}, year = {2022}, } Publisher's Version Archive submitted (330 kB)
	Chandra, Satish	MAPS '22: "Predictive Synthesis of API-Centric ..." Predictive Synthesis of API-Centric Code Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, and Satish Chandra (Carnegie Mellon University, USA; Columbia University, USA; Meta, USA) @InProceedings{MAPS22p41, author = {Daye Nam and Baishakhi Ray and Seohyun Kim and Xianshan Qu and Satish Chandra}, title = {Predictive Synthesis of API-Centric Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {41-40}, doi = {10.1145/3520312.3534866}, year = {2022}, } Publisher's Version
	Dolby, Julian	MAPS '22: "Automatically Debugging AutoML ..." Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle Julian Dolby, Jason Tsay, and Martin Hirzel (IBM Research, USA) @InProceedings{MAPS22p61, author = {Julian Dolby and Jason Tsay and Martin Hirzel}, title = {Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {61-60}, doi = {10.1145/3520312.3534868}, year = {2022}, } Publisher's Version Published Artifact Artifacts Available
	Ellis, Kevin	MAPS '22: "From Perception to Programs: ..." From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang and Kevin Ellis (Cornell University, USA) @InProceedings{MAPS22p31, author = {Hao Tang and Kevin Ellis}, title = {From Perception to Programs: Regularize, Overparameterize, and Amortize}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {31-30}, doi = {10.1145/3520312.3534865}, year = {2022}, } Publisher's Version
	Hegarty, James	MAPS '22: "A Graph Neural Network-Based ..." A Graph Neural Network-Based Performance Model for Deep Learning Applications Shikhar Singh, James Hegarty, Hugh Leather, and Benoit Steiner (Meta, USA) @InProceedings{MAPS22p11, author = {Shikhar Singh and James Hegarty and Hugh Leather and Benoit Steiner}, title = {A Graph Neural Network-Based Performance Model for Deep Learning Applications}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {11-10}, doi = {10.1145/3520312.3534863}, year = {2022}, } Publisher's Version
	Hellendoorn, Vincent Josua	MAPS '22: "A Systematic Evaluation of ..." A Systematic Evaluation of Large Language Models of Code Frank F. Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn (Carnegie Mellon University, USA) @InProceedings{MAPS22p1, author = {Frank F. Xu and Uri Alon and Graham Neubig and Vincent Josua Hellendoorn}, title = {A Systematic Evaluation of Large Language Models of Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {1-0}, doi = {10.1145/3520312.3534862}, year = {2022}, } Publisher's Version
	Hirzel, Martin	MAPS '22: "Automatically Debugging AutoML ..." Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle Julian Dolby, Jason Tsay, and Martin Hirzel (IBM Research, USA) @InProceedings{MAPS22p61, author = {Julian Dolby and Jason Tsay and Martin Hirzel}, title = {Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {61-60}, doi = {10.1145/3520312.3534868}, year = {2022}, } Publisher's Version Published Artifact Artifacts Available
	Hussain, Aftab	MAPS '22: "Syntax-Guided Program Reduction ..." Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models Md Rafiqul Islam Rabin, Aftab Hussain, and Mohammad Amin Alipour (University of Houston, USA) @InProceedings{MAPS22p71, author = {Md Rafiqul Islam Rabin and Aftab Hussain and Mohammad Amin Alipour}, title = {Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {71-70}, doi = {10.1145/3520312.3534869}, year = {2022}, } Publisher's Version Published Artifact Artifacts Available
	Kalliamvakou, Eirini	MAPS '22: "Productivity Assessment of ..." Productivity Assessment of Neural Code Completion Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian (GitHub, USA) @InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version
	Kim, Seohyun	MAPS '22: "Predictive Synthesis of API-Centric ..." Predictive Synthesis of API-Centric Code Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, and Satish Chandra (Carnegie Mellon University, USA; Columbia University, USA; Meta, USA) @InProceedings{MAPS22p41, author = {Daye Nam and Baishakhi Ray and Seohyun Kim and Xianshan Qu and Satish Chandra}, title = {Predictive Synthesis of API-Centric Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {41-40}, doi = {10.1145/3520312.3534866}, year = {2022}, } Publisher's Version
	Leather, Hugh	MAPS '22: "A Graph Neural Network-Based ..." A Graph Neural Network-Based Performance Model for Deep Learning Applications Shikhar Singh, James Hegarty, Hugh Leather, and Benoit Steiner (Meta, USA) @InProceedings{MAPS22p11, author = {Shikhar Singh and James Hegarty and Hugh Leather and Benoit Steiner}, title = {A Graph Neural Network-Based Performance Model for Deep Learning Applications}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {11-10}, doi = {10.1145/3520312.3534863}, year = {2022}, } Publisher's Version
	Li, X. Alice	MAPS '22: "Productivity Assessment of ..." Productivity Assessment of Neural Code Completion Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian (GitHub, USA) @InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version
	Magalhães, José Wesley de Souza	MAPS '22: "ExeBench: An ML-Scale Dataset ..." ExeBench: An ML-Scale Dataset of Executable C Functions Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, and Michael F. P. O'Boyle (University of Edinburgh, UK) @InProceedings{MAPS22p51, author = {Jordi Armengol-Estapé and Jackson Woodruff and Alexander Brauckmann and José Wesley de Souza Magalhães and Michael F. P. O'Boyle}, title = {ExeBench: An ML-Scale Dataset of Executable C Functions}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {51-50}, doi = {10.1145/3520312.3534867}, year = {2022}, } Publisher's Version Archive submitted (330 kB)
	Nam, Daye	MAPS '22: "Predictive Synthesis of API-Centric ..." Predictive Synthesis of API-Centric Code Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, and Satish Chandra (Carnegie Mellon University, USA; Columbia University, USA; Meta, USA) @InProceedings{MAPS22p41, author = {Daye Nam and Baishakhi Ray and Seohyun Kim and Xianshan Qu and Satish Chandra}, title = {Predictive Synthesis of API-Centric Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {41-40}, doi = {10.1145/3520312.3534866}, year = {2022}, } Publisher's Version
	Neubig, Graham	MAPS '22: "A Systematic Evaluation of ..." A Systematic Evaluation of Large Language Models of Code Frank F. Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn (Carnegie Mellon University, USA) @InProceedings{MAPS22p1, author = {Frank F. Xu and Uri Alon and Graham Neubig and Vincent Josua Hellendoorn}, title = {A Systematic Evaluation of Large Language Models of Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {1-0}, doi = {10.1145/3520312.3534862}, year = {2022}, } Publisher's Version
	O'Boyle, Michael F. P.	MAPS '22: "ExeBench: An ML-Scale Dataset ..." ExeBench: An ML-Scale Dataset of Executable C Functions Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, and Michael F. P. O'Boyle (University of Edinburgh, UK) @InProceedings{MAPS22p51, author = {Jordi Armengol-Estapé and Jackson Woodruff and Alexander Brauckmann and José Wesley de Souza Magalhães and Michael F. P. O'Boyle}, title = {ExeBench: An ML-Scale Dataset of Executable C Functions}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {51-50}, doi = {10.1145/3520312.3534867}, year = {2022}, } Publisher's Version Archive submitted (330 kB)
	Qu, Xianshan	MAPS '22: "Predictive Synthesis of API-Centric ..." Predictive Synthesis of API-Centric Code Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, and Satish Chandra (Carnegie Mellon University, USA; Columbia University, USA; Meta, USA) @InProceedings{MAPS22p41, author = {Daye Nam and Baishakhi Ray and Seohyun Kim and Xianshan Qu and Satish Chandra}, title = {Predictive Synthesis of API-Centric Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {41-40}, doi = {10.1145/3520312.3534866}, year = {2022}, } Publisher's Version
	Rabin, Md Rafiqul Islam	MAPS '22: "Syntax-Guided Program Reduction ..." Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models Md Rafiqul Islam Rabin, Aftab Hussain, and Mohammad Amin Alipour (University of Houston, USA) @InProceedings{MAPS22p71, author = {Md Rafiqul Islam Rabin and Aftab Hussain and Mohammad Amin Alipour}, title = {Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {71-70}, doi = {10.1145/3520312.3534869}, year = {2022}, } Publisher's Version Published Artifact Artifacts Available
	Ray, Baishakhi	MAPS '22: "Predictive Synthesis of API-Centric ..." Predictive Synthesis of API-Centric Code Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, and Satish Chandra (Carnegie Mellon University, USA; Columbia University, USA; Meta, USA) @InProceedings{MAPS22p41, author = {Daye Nam and Baishakhi Ray and Seohyun Kim and Xianshan Qu and Satish Chandra}, title = {Predictive Synthesis of API-Centric Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {41-40}, doi = {10.1145/3520312.3534866}, year = {2022}, } Publisher's Version
	Rice, Andrew	MAPS '22: "Productivity Assessment of ..." Productivity Assessment of Neural Code Completion Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian (GitHub, USA) @InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version
	Rifkin, Devon	MAPS '22: "Productivity Assessment of ..." Productivity Assessment of Neural Code Completion Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian (GitHub, USA) @InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version
	Simister, Shawn	MAPS '22: "Productivity Assessment of ..." Productivity Assessment of Neural Code Completion Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian (GitHub, USA) @InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version
	Singh, Shikhar	MAPS '22: "A Graph Neural Network-Based ..." A Graph Neural Network-Based Performance Model for Deep Learning Applications Shikhar Singh, James Hegarty, Hugh Leather, and Benoit Steiner (Meta, USA) @InProceedings{MAPS22p11, author = {Shikhar Singh and James Hegarty and Hugh Leather and Benoit Steiner}, title = {A Graph Neural Network-Based Performance Model for Deep Learning Applications}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {11-10}, doi = {10.1145/3520312.3534863}, year = {2022}, } Publisher's Version
	Sittampalam, Ganesh	MAPS '22: "Productivity Assessment of ..." Productivity Assessment of Neural Code Completion Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian (GitHub, USA) @InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version
	Steiner, Benoit	MAPS '22: "A Graph Neural Network-Based ..." A Graph Neural Network-Based Performance Model for Deep Learning Applications Shikhar Singh, James Hegarty, Hugh Leather, and Benoit Steiner (Meta, USA) @InProceedings{MAPS22p11, author = {Shikhar Singh and James Hegarty and Hugh Leather and Benoit Steiner}, title = {A Graph Neural Network-Based Performance Model for Deep Learning Applications}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {11-10}, doi = {10.1145/3520312.3534863}, year = {2022}, } Publisher's Version
	Tang, Hao	MAPS '22: "From Perception to Programs: ..." From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang and Kevin Ellis (Cornell University, USA) @InProceedings{MAPS22p31, author = {Hao Tang and Kevin Ellis}, title = {From Perception to Programs: Regularize, Overparameterize, and Amortize}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {31-30}, doi = {10.1145/3520312.3534865}, year = {2022}, } Publisher's Version
	Tsay, Jason	MAPS '22: "Automatically Debugging AutoML ..." Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle Julian Dolby, Jason Tsay, and Martin Hirzel (IBM Research, USA) @InProceedings{MAPS22p61, author = {Julian Dolby and Jason Tsay and Martin Hirzel}, title = {Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {61-60}, doi = {10.1145/3520312.3534868}, year = {2022}, } Publisher's Version Published Artifact Artifacts Available
	Woodruff, Jackson	MAPS '22: "ExeBench: An ML-Scale Dataset ..." ExeBench: An ML-Scale Dataset of Executable C Functions Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, and Michael F. P. O'Boyle (University of Edinburgh, UK) @InProceedings{MAPS22p51, author = {Jordi Armengol-Estapé and Jackson Woodruff and Alexander Brauckmann and José Wesley de Souza Magalhães and Michael F. P. O'Boyle}, title = {ExeBench: An ML-Scale Dataset of Executable C Functions}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {51-50}, doi = {10.1145/3520312.3534867}, year = {2022}, } Publisher's Version Archive submitted (330 kB)
	Xu, Frank F.	MAPS '22: "A Systematic Evaluation of ..." A Systematic Evaluation of Large Language Models of Code Frank F. Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn (Carnegie Mellon University, USA) @InProceedings{MAPS22p1, author = {Frank F. Xu and Uri Alon and Graham Neubig and Vincent Josua Hellendoorn}, title = {A Systematic Evaluation of Large Language Models of Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {1-0}, doi = {10.1145/3520312.3534862}, year = {2022}, } Publisher's Version
	Ziegler, Albert	MAPS '22: "Productivity Assessment of ..." Productivity Assessment of Neural Code Completion Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian (GitHub, USA) @InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version

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