• 
  Jigyasa Chauhan

  UNL, Master's

  Graduated: December 2022

  Thesis: An Empirical Study on the Classification of Python Language Features Using Eye-Tracking

Co-Authored Publications

• An Empirical Study on the Classification of Python Language Features Using Eye-Tracking Jigyasa Chauhan. December 1, 2022. A master's thesis at University of Nebraska-Lincoln.
• ESEC/FSE: An Exploratory Study on the Predominant Programming Paradigms in Python Code Robert Dyer, Jigyasa Chauhan. November 16, 2022.
  Acceptance rate: 99/449 (22.05%)
• EMSE: Pitfalls and Guidelines for Using Time-Based Git Data Samuel W. Flint, Jigyasa Chauhan, Robert Dyer. October 6, 2022.
• MSR: Escaping the Time Pit: Pitfalls and Guidelines for Using Time-Based Git Data  Distinguished Paper Award Samuel W. Flint, Jigyasa Chauhan, Robert Dyer. May 17, 2021.
  Acceptance rate: 48/140 (34.29%)