TERESA: An Integrated System for Network Diagnoses. - Alain McMichael; Jennifer Thien; Jason Tsay (DEXA, 1990)

Object-Oriented Intelligent Telecommunications Network Management System. - Jason Tsay (Integrated Network Management, 1993)

Experiences mining open source release histories. - Jason Tsay; Hyrum K. Wright; Dewayne E. Perry (ICSSP, 2011)

Social coding in GitHub: transparency and collaboration in an open software repository. - Laura A. Dabbish; H. Colleen Stuart; Jason Tsay; James D. Herbsleb (CSCW, 2012)

Social media and success in open source projects. - Jason Tsay; Laura Dabbish; James D. Herbsleb (CSCW (Companion), 2012)

Social media in transparent work environments. - Jason Tsay; Laura Dabbish; James D. Herbsleb (CHASE@ICSE, 2013)

Leveraging Transparency. - Laura Dabbish; H. Colleen Stuart; Jason Tsay; James D. Herbsleb (IEEE Softw., 2013)

Influence of social and technical factors for evaluating contribution in GitHub. - Jason Tsay; Laura Dabbish; James D. Herbsleb (ICSE, 2014)

Let's talk about it: evaluating contributions through discussion in GitHub. - Jason Tsay; Laura Dabbish; James D. Herbsleb (SIGSOFT FSE, 2014)

Transparency and Coordination in Peer Production. - Laura Dabbish; H. Colleen Stuart; Jason Tsay; James D. Herbsleb (CoRR, 2014)

Software Developers Using Signals in Transparent Environments. - Jason Tsay (2017)

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 (CHI, 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; et al. (IBM J. Res. Dev., 2019)

AIMMX: Artificial Intelligence Model Metadata Extractor. - Jason Tsay; Alan Braz; Martin Hirzel; Avraham Shinnar; Todd W. Mummert (MSR, 2020)

Pipeline Combinators for Gradual AutoML. - Guillaume Baudart; Martin Hirzel; Kiran Kate; Parikshit Ram; Avraham Shinnar; Jason Tsay (NeurIPS, 2021)

Towards automating code review at scale. - Vincent J. Hellendoorn; Jason Tsay; Manisha Mukherjee; Martin Hirzel (ESEC/SIGSOFT FSE, 2021)

Gradual AutoML using Lale. - Martin Hirzel; Kiran Kate; Parikshit Ram; Avraham Shinnar; Jason Tsay (KDD, 2022)

Comments on Comments: Where Code Review and Documentation Meet. - Nikitha Rao; Jason Tsay; Martin Hirzel; Vincent J. Hellendoorn (MSR, 2022)

Automatically debugging AutoML pipelines using maro: ML automated remediation oracle. - Julian Dolby; Jason Tsay; Martin Hirzel (MAPS@PLDI, 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 (Extended Version). - Julian Dolby; Jason Tsay; Martin Hirzel (CoRR, 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)

AI for Low-Code for AI. - Nikitha Rao; Jason Tsay; Kiran Kate; Vincent J. Hellendoorn; Martin Hirzel (IUI, 2024)

Improving Examples in Web API Specifications using Iterated-Calls In-Context Learning. - Kush Jain; Kiran Kate; Jason Tsay; Claire Le Goues; Martin Hirzel (AST@ICSE, 2025)

Towards LLMs Robustness to Changes in Prompt Format Styles. - Lilian Ngweta; Kiran Kate; Jason Tsay; Yara Rizk (NAACL (Student Research Workshop), 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; et al. (CoRR, 2025)