Jin L. C. Guo

According to our database, Jin L. C. Guo authored at least 63 papers between 2013 and 2024.

Collaborative distances:

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

2024

Properties and Styles of Software Technology Tutorials.

Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard

IEEE Trans. Software Eng., February, 2024

A Design Space for Intelligent and Interactive Writing Assistants.

Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue

CoRR, 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

DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies.

Anh Dau, Jin L. C. Guo, Nghi D. Q. Bui

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

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

How programmers find online learning resources.

Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard

Empir. Softw. Eng., 2023

SUMMIT: Scaffolding OSS Issue Discussion Through Summarization.

Saskia Gilmer, Avinash Bhat, Shuvam Shah, Kevin Cherry, Jinghui Cheng, 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

The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation.

Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui

CoRR, 2023

Approach Intelligent Writing Assistants Usability with Seven Stages of Action.

Avinash Bhat, Disha Shrivastava, Jin L. C. Guo

CoRR, 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, Nghi D. Q. Bui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

GUILGET: GUI Layout GEneration with Transformer.

Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

Better Language Models of Code through Self-Improvement.

Hung Quoc To, Nghi D. Q. Bui, Jin L. C. Guo, Tien N. Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

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

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

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, Kenichi Matsumoto

J. Syst. Softw., 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

Feature-oriented modularization of deep learning APIs.

Yechuan Shi, Jörg Kienzle, Jin L. C. Guo

Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

Machine learning-based incremental learning in interactive domain modelling.

Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle

Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, 2022

Deep API learning revisited.

James Martin, Jin L. C. Guo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 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

Proceedings of the 15th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering , 2022

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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

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

DoMoBOT: A Modelling Bot for Automated and Traceable Domain Modelling.

Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle

Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

Automated Traceability for Domain Modelling Decisions Empowered by Artificial Intelligence.

Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle

Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

Issue Link Label Recovery and Prediction for Open Source Software.

Alexander Nicholson, Jin L. C. Guo

Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

DoMoBOT: An AI-Empowered Bot for Automated and Interactive Domain Modelling.

Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle

Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, 2021

Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code.

Chenyang Yang, Shurui Zhou, Jin L. C. Guo, Christian Kästner

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Splitting, Renaming, Removing: A Study of Common Cleaning Activities in Jupyter Notebooks.

Helen Dong, Shurui Zhou, Jin L. C. Guo, Christian Kästner

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop.

Jazlyn Hellman, Jinghui Cheng, Jin L. C. Guo

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

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

Information correspondence between types of documentation for APIs.

Deeksha M. Arya, Jin L. C. Guo, Martin P. Robillard

Empir. Softw. Eng., 2020

Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs.

Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, Jin L. C. Guo

CoRR, 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

Towards Queryable and Traceable Domain Models.

Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle

Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

A Neural Network Based Approach to Domain Modelling Relationships and Patterns Recognition.

Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle

Proceedings of the 10th IEEE International Model-Driven Requirements Engineering, 2020

DoMoBOT: a bot for automated and interactive domain modelling.

Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle

Proceedings of the MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 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

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Traceability Network Analysis: A Case Study of Links in Issue Tracking Systems.

Alexander Nicholson, Deeksha M. Arya, Jin L. C. Guo

Proceedings of the 7th IEEE International Workshop on Artificial Intelligence for Requirements Engineering, 2020

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

Proceedings of the 7th IEEE International Workshop on Artificial Intelligence for Requirements Engineering, 2020

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

ACM SIGSOFT Softw. Eng. Notes, 2019

Traceability in the Wild: Automatically Augmenting Incomplete Trace Links.

Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder

Proceedings of the Software Engineering and Software Management, 2019

Toward Requirements Specification for Machine-Learned Components.

Mona Rahimi, Jin L. C. Guo, Sahar Kokaly, Marsha Chechik

Proceedings of the 27th IEEE International Requirements Engineering Conference Workshops, 2019

Teaching Modelling Literacy: An Artificial Intelligence Approach.

Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle

Proceedings of the 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, 2019

Activity-based analysis of open source software contributors: roles and dynamics.

Jinghui Cheng, Jin L. C. Guo

Proceedings of the 12th International Workshop on Cooperative and Human Aspects of Software Engineering, 2019

Analysis and detection of information types of open source software issue discussions.

Deeksha M. Arya, Wenting Wang, Jin L. C. Guo, Jinghui Cheng

Proceedings of the 41st International Conference on Software Engineering, 2019

Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study.

Wenting Wang, Jinghui Cheng, Jin L. C. Guo

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

2018

Domain Knowledge Discovery Guided by Software Trace Links.

Jin L. C. Guo, Natawut Monaikul, Jane Cleland-Huang

Proceedings of the 5th International Workshop on Artificial Intelligence for Requirements Engineering, 2018

How Do the Open Source Communities Address Usability and UX Issues?: An Exploratory Study.

Jinghui Cheng, Jin L. C. Guo

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Tackling the term-mismatch problem in automated trace retrieval.

Jin Guo, Marek Gibiec, Jane Cleland-Huang

Empir. Softw. Eng., 2017

TiQi: a natural language interface for querying software project data.

Jinfeng Lin, Yalin Liu, Jin Guo, Jane Cleland-Huang, William Goss, Wenchuang Liu, Sugandha Lohar, Natawut Monaikul, Alexander Rasin

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Semantically enhanced software traceability using deep learning techniques.

Jin Guo, Jinghui Cheng, Jane Cleland-Huang

Proceedings of the 39th International Conference on Software Engineering, 2017

Leveraging Design Patterns to Support Designer-Therapist Collaboration When Ideating Brain Injury Therapy Games.

Jinghui Cheng, Dorian Anderson, Cynthia Putnam, Jin Guo

Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2017

2016

Cold-start software analytics.

Jin Guo, Mona Rahimi, Jane Cleland-Huang, Alexander Rasin, Jane Huffman Hayes, Michael Vierhauser

Proceedings of the 13th International Conference on Mining Software Repositories, 2016

Ontology learning and its application in software-intensive projects.

Jin Guo, Jane Cleland-Huang

Proceedings of the 38th International Conference on Software Engineering, 2016

"Always a Tall Order": Values and Practices of Professional Game Designers of Serious Games for Health.

Jinghui Cheng, Cynthia Putnam, Jin Guo

Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, 2016

2015

Trace links explained: An automated approach for generating rationales.

Jin Guo, Natawut Monaikul, Jane Cleland-Huang

Proceedings of the 23rd IEEE International Requirements Engineering Conference, 2015

2014

Towards an intelligent domain-specific traceability solution.

Jin Guo, Natawut Monaikul, Cody Plepel, Jane Cleland-Huang

Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014

Towards more intelligent trace retrieval algorithms.

Jane Cleland-Huang, Jin Guo

Proceedings of the 3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2014

2013

Foundations for an expert system in domain-specific traceability.

Jin Guo, Jane Cleland-Huang, Brian Berenbach

Proceedings of the 21st IEEE International Requirements Engineering Conference, 2013