Foundations for an expert system in domain-specific traceability. - Jin Guo 004; Jane Cleland-Huang; Brian Berenbach (RE, 2013)

Towards more intelligent trace retrieval algorithms. - Jane Cleland-Huang; Jin Guo 004 (RAISE, 2014)

Towards an intelligent domain-specific traceability solution. - Jin Guo 004; Natawut Monaikul; Cody Plepel; Jane Cleland-Huang (ASE, 2014)

Trace links explained: An automated approach for generating rationales. - Jin Guo 004; Natawut Monaikul; Jane Cleland-Huang (RE, 2015)

"Always a Tall Order": Values and Practices of Professional Game Designers of Serious Games for Health. - Jinghui Cheng; Cynthia Putnam; Jin Guo 004 (CHI PLAY, 2016)

Ontology learning and its application in software-intensive projects. - Jin Guo 004; Jane Cleland-Huang (ICSE (Companion Volume), 2016)

Cold-start software analytics. - Jin Guo 004; Mona Rahimi; Jane Cleland-Huang; Alexander Rasin; Jane Huffman Hayes; Michael Vierhauser (MSR, 2016)

Leveraging Design Patterns to Support Designer-Therapist Collaboration When Ideating Brain Injury Therapy Games. - Jinghui Cheng; Dorian Anderson; Cynthia Putnam; Jin Guo 004 (CHI PLAY, 2017)

Semantically enhanced software traceability using deep learning techniques. - Jin Guo 004; Jinghui Cheng; Jane Cleland-Huang (ICSE, 2017)

TiQi: a natural language interface for querying software project data. - Jinfeng Lin; Yalin Liu; Jin Guo 004; Jane Cleland-Huang; William Goss; Wenchuang Liu; Sugandha Lohar; Natawut Monaikul; Alexander Rasin (ASE, 2017)

Tackling the term-mismatch problem in automated trace retrieval. - Jin Guo 004; Marek Gibiec; Jane Cleland-Huang (Empir. Softw. Eng., 2017)

How Do the Open Source Communities Address Usability and UX Issues?: An Exploratory Study. - Jinghui Cheng; Jin L. C. Guo (CHI Extended Abstracts, 2018)

Domain Knowledge Discovery Guided by Software Trace Links. - Jin L. C. Guo; Natawut Monaikul; Jane Cleland-Huang (AIRE@RE, 2018)

Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study. - Wenting Wang; Jinghui Cheng; Jin L. C. Guo (CHI Extended Abstracts, 2019)

Analysis and detection of information types of open source software issue discussions. - Deeksha M. Arya; Wenting Wang; Jin L. C. Guo; Jinghui Cheng (ICSE, 2019)

Activity-based analysis of open source software contributors: roles and dynamics. - Jinghui Cheng; Jin L. C. Guo (CHASE@ICSE, 2019)

Teaching Modelling Literacy: An Artificial Intelligence Approach. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (MoDELS (Companion), 2019)

Toward Requirements Specification for Machine-Learned Components. - Mona Rahimi; Jin L. C. Guo; Sahar Kokaly; Marsha Chechik (RE Workshops, 2019)

Traceability in the Wild: Automatically Augmenting Incomplete Trace Links. - Michael Rath 002; Jacob Rendall; Jin L. C. Guo; Jane Cleland-Huang; Patrick Mäder (SE/SWM, 2019)

SST'19 - Software and Systems Traceability: Summary of the 10th International Workshop at the 41st International Conference on Software Engineering (ICSE), May 27, 2019. - Jan-Philipp Steghöfer; Nan Niu; Jin L. C. Guo; Anas Mahmoud 001 (ACM SIGSOFT Softw. Eng. Notes, 2019)

SENET: A Semantic Web for Supporting Automation of Software Engineering Tasks. - Yalin Liu; Jinfeng Lin; Jane Cleland-Huang; Michael Vierhauser; Jin L. C. Guo; Sugandha Lohar (AIRE@RE, 2020)

Traceability Network Analysis: A Case Study of Links in Issue Tracking Systems. - Alexander Nicholson; Deeksha M. Arya; Jin L. C. Guo (AIRE@RE, 2020)

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models. - Wenting Wang; Deeksha M. Arya; Nicole Novielli; Jinghui Cheng; Jin L. C. Guo (CHI, 2020)

DoMoBOT: a bot for automated and interactive domain modelling. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (MoDELS (Companion), 2020)

A Neural Network Based Approach to Domain Modelling Relationships and Patterns Recognition. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (MoDRE@RE, 2020)

Towards Queryable and Traceable Domain Models. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (RE, 2020)

GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution. - Supatsara Wattanakriengkrai; Bodin Chinthanet; Hideaki Hata; Raula Gaikovina Kula; Christoph Treude; Jin L. C. Guo; Kenichi Matsumoto (CoRR, 2020)

Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs. - Kian Ahrabian; Daniel Tarlow; Hehuimin Cheng; Jin L. C. Guo (CoRR, 2020)

Information correspondence between types of documentation for APIs. - Deeksha M. Arya; Jin L. C. Guo; Martin P. Robillard (Empir. Softw. Eng., 2020)

Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes. - Davide Falessi; Justin Roll; Jin L. C. Guo; Jane Cleland-Huang (IEEE Trans. Software Eng., 2020)

Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop. - Jazlyn Hellman; Jinghui Cheng; Jin L. C. Guo (CHI Extended Abstracts, 2021)

Splitting, Renaming, Removing: A Study of Common Cleaning Activities in Jupyter Notebooks. - Helen Dong; Shurui Zhou; Jin L. C. Guo; Christian Kästner (ASE Workshops, 2021)

Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code. - Chenyang Yang 002; Shurui Zhou; Jin L. C. Guo; Christian Kästner (ASE, 2021)

DoMoBOT: An AI-Empowered Bot for Automated and Interactive Domain Modelling. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (MoDELS (Companion), 2021)

Issue Link Label Recovery and Prediction for Open Source Software. - Alexander Nicholson; Jin L. C. Guo (RE Workshops, 2021)

Automated Traceability for Domain Modelling Decisions Empowered by Artificial Intelligence. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (RE, 2021)

DoMoBOT: A Modelling Bot for Automated and Traceable Domain Modelling. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (RE, 2021)

Preface: 4th Workshop on Natural Language Processing for Requirements Engineering (NLP4RE 2021). - Sallam Abualhaija; Fatma Basak Aydemir; Alessio Ferrari 001; Jin Guo 004 (REFSQ Workshops, 2021)

Science-Software Linkage: The Challenges of Traceability between Scientific Knowledge and Software Artifacts. - Hideaki Hata; Jin L. C. Guo; Raula Gaikovina Kula; Christoph Treude (CoRR, 2021)

Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches. - Jazlyn Hellman; Eunbee Jang; Christoph Treude; Chenzhun Huang; Jin L. C. Guo (CoRR, 2021)

GANSpiration: Balancing Targeted and Serendipitous Inspiration in User Interface Design with Style-Based Generative Adversarial Network. - Mohammad Amin Mozaffari; Xinyuan Zhang; Jinghui Cheng; Jin L. C. Guo (CHI, 2022)

Characterizing User Behaviors in Open-Source Software User Forums: An Empirical Study. - Jazlyn Hellman; Jiahao Chen; Md. Sami Uddin; Jinghui Cheng; Jin L. C. Guo (CHASE@ICSE, 2022)

Deep API learning revisited. - James Martin; Jin L. C. Guo (ICPC, 2022)

Machine learning-based incremental learning in interactive domain modelling. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (MoDELS, 2022)

Feature-oriented modularization of deep learning APIs. - Yechuan Shi; Jörg Kienzle; Jin L. C. Guo (MoDELS (Companion), 2022)

Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability. - Avinash Bhat; Austin Coursey; Grace Hu; Sixian Li; Nadia Nahar; Shurui Zhou; Christian Kästner; Jin L. C. Guo (CoRR, 2022)

GitHub repositories with links to academic papers: Public access, traceability, and evolution. - Supatsara Wattanakriengkrai; Bodin Chinthanet; Hideaki Hata; Raula Gaikovina Kula; Christoph Treude; Jin Guo 004; Kenichi Matsumoto (J. Syst. Softw., 2022)

The Secret to Better AI and Better Software (Is Requirements Engineering). - Nelly Bencomo; Jin L. C. Guo; Rachel Harrison; Hans-Martin Heyn; Tim Menzies (IEEE Softw., 2022)

How Do Open Source Software Contributors Perceive and Address Usability?: Valued Factors, Practices, and Challenges. - Wenting Wang; Jinghui Cheng; Jin L. C. Guo (IEEE Softw., 2022)

Automated, interactive, and traceable domain modelling empowered by artificial intelligence. - Rijul Saini; Gunter Mussbacher; Jin L. C. Guo; Jörg Kienzle (Softw. Syst. Model., 2022)

Better Language Models of Code through Self-Improvement. - Hung Quoc To; Nghi D. Q. Bui; Jin L. C. Guo; Tien N. Nguyen (ACL (Findings), 2023)

GUILGET: GUI Layout GEneration with Transformer. - Andrey Sobolevsky; Guillaume-Alexandre Bilodeau; Jinghui Cheng; Jin L. C. Guo (Canadian AI, 2023)

Aspirations and Practice of ML Model Documentation: Moving the Needle with Nudging and Traceability. - Avinash Bhat; Austin Coursey; Grace Hu; Sixian Li; Nadia Nahar; Shurui Zhou; Christian Kästner; Jin L. C. Guo (CHI, 2023)

The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation. - Dung Nguyen Manh; Le Nam Hai; Anh T. V. Dau; Anh Minh Nguyen; Khanh Nghiem; Jin Guo 004; Nghi D. Q. Bui (EMNLP (Findings), 2023)

Approach Intelligent Writing Assistants Usability with Seven Stages of Action. - Avinash Bhat; Disha Shrivastava; Jin L. C. Guo (CoRR, 2023)

Bootstrapping Code-Text Pretrained Language Model to Detect Inconsistency Between Code and Comment. - Anh T. V. Dau; Nghi D. Q. Bui; Jin L. C. Guo (CoRR, 2023)

SUMMIT: Scaffolding OSS Issue Discussion Through Summarization. - Saskia Gilmer; Avinash Bhat; Shuvam Shah; Kevin Cherry; Jinghui Cheng; Jin L. C. Guo (CoRR, 2023)

How programmers find online learning resources. - Deeksha M. Arya; Jin L. C. Guo; Martin P. Robillard (Empir. Softw. Eng., 2023)

SUMMIT: Scaffolding Open Source Software Issue Discussion Through Summarization. - Saskia Gilmer; Avinash Bhat; Shuvam Shah; Kevin Cherry; Jinghui Cheng; Jin L. C. Guo (Proc. ACM Hum. Comput. Interact., 2023)

Do LLMs Meet the Needs of Software Tutorial Writers? Opportunities and Design Implications. - Avinash Bhat; Disha Shrivastava; Jin L. C. Guo (Conference on Designing Interactive Systems, 2024)

Motivating Users to Attend to Privacy: A Theory-Driven Design Study. - Varun Shiri; Maggie Xiong; Jinghui Cheng; Jin L. C. Guo (Conference on Designing Interactive Systems, 2024)

A Design Space for Intelligent and Interactive Writing Assistants. - Mina Lee 002; Katy Ilonka Gero; John Joon Young Chung; Simon Buckingham Shum; Vipul Raheja; Hua Shen 005; Subhashini Venugopalan; Thiemo Wambsganss; David Zhou; Emad A. Alghamdi; Tal August; Avinash Bhat; et al. (CHI, 2024)

DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies. - Anh Dau; Jin L. C. Guo; Nghi D. Q. Bui (EACL (Demonstrations), 2024)

Why People Contribute Software Documentation. - Deeksha M. Arya; Jin L. C. Guo; Martin P. Robillard (CHASE@ICSE, 2024)

How to Sustain a Scientific Open-Source Software Ecosystem: Learning from the Astropy Project. - Jiayi Sun; Aarya Patil; Youhai Li; Jin L. C. Guo; Shurui Zhou (CoRR, 2024)

Natural Language Processing for Requirements Traceability. - Jin L. C. Guo; Jan-Philipp Steghöfer; Andreas Vogelsang; Jane Cleland-Huang (CoRR, 2024)

The Software Documentor Mindset. - Deeksha M. Arya; Jin L. C. Guo; Martin P. Robillard (CoRR, 2024)

Properties and Styles of Software Technology Tutorials. - Deeksha M. Arya; Jin L. C. Guo; Martin P. Robillard (IEEE Trans. Software Eng., 2024)

Communicating Study Design Trade-offs in Software Engineering. - Martin P. Robillard; Deeksha M. Arya; Neil A. Ernst; Jin L. C. Guo; Maxime Lamothe; Mathieu Nassif; Nicole Novielli; Alexander Serebrenik; Igor Steinmacher; Klaas-Jan Stol (ACM Trans. Softw. Eng. Methodol., 2024)

Opening the Scope of Openness in AI. - Tamara Paris; AJung Moon; Jin L. C. Guo (FAccT, 2025)

How Programmers Interact with Multimodal Software Documentation. - Deeksha M. Arya; Jin L. C. Guo; Martin P. Robillard (CHASE@ICSE, 2025)

Advancing Sustainable Communities in Scientific Oss: a Replication Study With Astropy. - Jiayi Sun; Aarya Patil; Youhai Li; Jin L. C. Guo; Shurui Zhou (CHASE@ICSE, 2025)

"Ohhh, He's the Boss!": Unpacking Power Dynamics Among Developers, Designers, and End-Users in FLOSS Usability. - Jazlyn Hellman; Itai Epstein; Jinghui Cheng; Jin L. C. Guo (CoRR, 2025)