• 
  Tien N. Nguyen

  Professor

  UT Dallas

  His research mainly focuses on AI, Machine Learning, and NLP for Software Engineering and Software Security, along with the sub-areas in SE, in particular, Program Analysis, Software Evolution and Mining, and Software Security.

Co-Authored Publications

•  NEW ICSE: An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization Fraol Batole, David OBrien, Tien N. Nguyen, Robert Dyer, Hridesh Rajan. January 1, 2025.
  Acceptance rate: 140/642 (21.81%)
•  NEW ICSE: Data-Driven Evidence-Based Syntactic Sugar Design David OBrien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan. April 17, 2024.
  Acceptance rate: 234/1049 (22.31%)
• WASPI: Towards Combining Usage Mining and Implementation Analysis to Infer API Preconditions Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan, Robert Dyer. November 9, 2018.
• ASE: Program Analysis on Thousands of Projects Ganesha Upadhyaya, Hridesh Rajan, Robert Dyer, Tien N. Nguyen. October 31, 2017.
• TOSEM: Boa: Ultra-Large-Scale Software Repository and Source-Code Mining Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen. December 1, 2015.
• SPLASH: Consensus-Based Mining of API Preconditions in Big Code Hoan Anh Nguyen, Robert Dyer, Tien N. Nguyen, Hridesh Rajan. October 30, 2015.
• SPLASH: Demonstrating Programming Language Feature Mining Using Boa Robert Dyer, Hridesh Rajan, Tien N. Nguyen, Hoan Anh Nguyen. October 30, 2015.
• SPLASH: Mining Programming Language Usage with Boa Robert Dyer, Hridesh Rajan, Tien N. Nguyen, Hoan Anh Nguyen. October 29, 2015.
• SPLASH: Mining Billions of AST Nodes to Study Actual and Potential Usage of Java Language Features Robert Dyer, Hridesh Rajan, Hoan Anh Nguyen, Tien N. Nguyen. October 28, 2015.
• Boa: an Enabling Language and Infrastructure for Ultra-large Scale MSR Studies Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen. September 15, 2015. The Art and Science of Analyzing Software Data.
• ICSE NIER: Inferring Behavioral Specifications from Large-scale Repositories by Leveraging Collective Intelligence Hridesh Rajan, Tien N. Nguyen, Gary T. Leavens, Robert Dyer. May 21, 2015.
• ICSE: Inferring Behavioral Specifications from Large-scale Repositories by Leveraging Collective Intelligence Hridesh Rajan, Tien N. Nguyen, Gary T. Leavens, Robert Dyer. May 20, 2015.
  Acceptance rate: 25/135 (18.52%)
• FSE: Mining Preconditions of APIs in Large-Scale Code Corpus Hoan Anh Nguyen, Robert Dyer, Tien N. Nguyen, Hridesh Rajan. November 18, 2014.
  Acceptance rate: 61/273 (22.34%)
• ICSE: Mining Billions of AST Nodes to Study Actual and Potential Usage of Java Language Features Robert Dyer, Hridesh Rajan, Hoan Anh Nguyen, Tien N. Nguyen. June 3, 2014.
  Acceptance rate: 99/495 (20.00%)
• ICSE: Efficiently Mining Source Code with Boa Robert Dyer, Hridesh Rajan, Tien N. Nguyen, Hoan Anh Nguyen. June 2, 2014.
• SPLASH: Mining Source Code Repositories with Boa Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen. October 31, 2013.
• GPCE: Declarative Visitors to Ease Fine-grained Source Code Mining with Full History on Billions of AST Nodes Robert Dyer, Hridesh Rajan, Tien N. Nguyen. October 27, 2013.
  Acceptance rate: 20/57 (35.09%)
• ICSE: Boa: A Language and Infrastructure for Analyzing Ultra-Large-Scale Software Repositories Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen. May 23, 2013.
  Acceptance rate: 85/461 (18.43%)
• SPLASH: Analyzing Ultra-Large-Scale Code Corpus with Boa Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen. October 22, 2012.
• SPLASH: Boa: Analyzing Ultra-Large-Scale Code Corpus Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen. October 22, 2012.