Jason Tsay

According to our database, Jason Tsay authored at least 26 papers between 1990 and 2025.

Collaborative distances:

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

2025

OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models.

Koren Lazar, Matan Vetzler, Kiran Kate, Jason Tsay, David Boaz, Himanshu Gupta, Avraham Shinnar, Rohith D. Vallam, David Amid, Esther Goldbraich, Guy Uziel, Jim Laredo, Ateret Anaby Tavor

CoRR, July, 2025

Towards LLMs Robustness to Changes in Prompt Format Styles.

Lilian Ngweta, Kiran Kate, Jason Tsay, Yara Rizk

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Improving Examples in Web API Specifications using Iterated-Calls In-Context Learning.

Kush Jain, Kiran Kate, Jason Tsay, Claire Le Goues, Martin Hirzel

Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2025

2024

AI for Low-Code for AI.

Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2022

Extracting enhanced artificial intelligence model metadata from software repositories.

Jason Tsay, Alan Braz, Martin Hirzel, Avraham Shinnar, Todd W. Mummert

Empir. Softw. Eng., 2022

Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle (Extended Version).

Julian Dolby, Jason Tsay, Martin Hirzel

CoRR, 2022

Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE).

Jason Tsay, Andrea Bartezzaghi, Aleke Nolte, A. Cristiano I. Malossi

CoRR, 2022

Automatically debugging AutoML pipelines using maro: ML automated remediation oracle.

Julian Dolby, Jason Tsay, Martin Hirzel

Proceedings of the MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, 2022

Comments on Comments: Where Code Review and Documentation Meet.

Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Gradual AutoML using Lale.

Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Towards automating code review at scale.

Vincent J. Hellendoorn, Jason Tsay, Manisha Mukherjee, Martin Hirzel

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Pipeline Combinators for Gradual AutoML.

Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

AIMMX: Artificial Intelligence Model Metadata Extractor.

Jason Tsay, Alan Braz, Martin Hirzel, Avraham Shinnar, Todd W. Mummert

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

2019

FactSheets: Increasing trust in AI services through supplier's declarations of conformity.

Matthew Arnold, Rachel K. E. Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, Darrell Reimer, John T. Richards, Jason Tsay, Kush R. Varshney

IBM J. Res. Dev., 2019

How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation.

Michael J. Muller, Ingrid Lange, Dakuo Wang, David Piorkowski, Jason Tsay, Q. Vera Liao, Casey Dugan, Thomas Erickson

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2017

Software Developers Using Signals in Transparent Environments.

Jason Tsay

PhD thesis, 2017

2014

Transparency and Coordination in Peer Production.

Laura Dabbish, H. Colleen Stuart, Jason Tsay, James D. Herbsleb

CoRR, 2014

Let's talk about it: evaluating contributions through discussion in GitHub.

Jason Tsay, Laura Dabbish, James D. Herbsleb

Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014

Influence of social and technical factors for evaluating contribution in GitHub.

Jason Tsay, Laura Dabbish, James D. Herbsleb

Proceedings of the 36th International Conference on Software Engineering, 2014

2013

Leveraging Transparency.

Laura Dabbish, H. Colleen Stuart, Jason Tsay, James D. Herbsleb

IEEE Softw., 2013

Social media in transparent work environments.

Jason Tsay, Laura Dabbish, James D. Herbsleb

Proceedings of the 6th International Workshop on Cooperative and Human Aspects of Software Engineering, 2013

2012

Social media and success in open source projects.

Jason Tsay, Laura Dabbish, James D. Herbsleb

Proceedings of the CSCW '12 Computer Supported Cooperative Work, Seattle, WA, USA, February 11-15, 2012, 2012

Social coding in GitHub: transparency and collaboration in an open software repository.

Laura A. Dabbish, H. Colleen Stuart, Jason Tsay, James D. Herbsleb

Proceedings of the CSCW '12 Computer Supported Cooperative Work, 2012

2011

Experiences mining open source release histories.

Jason Tsay, Hyrum K. Wright, Dewayne E. Perry

Proceedings of the International Conference on Software and Systems Process, 2011

1993

Object-Oriented Intelligent Telecommunications Network Management System.

Jason Tsay

Proceedings of the Integrated Network Management III, 1993

1990

TERESA: An Integrated System for Network Diagnoses.

Alain McMichael, Jennifer Thien, Jason Tsay

Proceedings of the International Conference on Database and Expert Systems Applications, 1990