Path Complexity Predicts Code Comprehension Effort (ICPC 2023 - Research)

Who

Sofiane Dissem, Eli Pregerson, Adi Bhargava, Josh Cordova, Lucas Bang

Track

ICPC 2023 Research

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When

Tue 16 May 2023 14:03 - 14:12 at Meeting Room 106 - Programming Languages, Types, and Complexity Chair(s): Vittoria Nardone

Sofiane Dissem

Harvey Mudd College

United States

Eli Pregerson

Harvey Mudd College

United States

Adi Bhargava

Harvey Mudd College

Josh Cordova

Harvey Mudd College

United States

Lucas Bang

Harvey Mudd College

United States

Time Zone

The program is currently displayed in (GMT+10:00) Hobart.

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Session Program

Tue 16 May
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13:45 - 15:15	Programming Languages, Types, and ComplexityDiscussion / Research / Replications and Negative Results (RENE) / Journal First at Meeting Room 106 Chair(s): Vittoria Nardone

13:45 9m Full-paper		How Well Static Type Checkers Work with Gradual Typing? A Case Study on Python Research Wenjie Xu Nanjing University, Lin Chen Nanjing University, Chenghao Su Nanjing University, Yimeng Guo Nanjing University, Yanhui Li Nanjing University, Yuming Zhou Nanjing University, Baowen Xu Nanjing University
13:54 9m Full-paper		Too Simple? Notions of Task Complexity used in Maintenance-based Studies of Programming Tools Research Patrick Rein University of Potsdam; Hasso Plattner Institute, Tom Beckmann Hasso Plattner Institute, Eva Krebs Hasso Plattner Institute (HPI), University of Potsdam, Germany, Toni Mattis University of Potsdam; Hasso Plattner Institute, Robert Hirschfeld University of Potsdam; Hasso Plattner Institute
14:03 9m Full-paper		Path Complexity Predicts Code Comprehension Effort Research Sofiane Dissem Harvey Mudd College, Eli Pregerson Harvey Mudd College, Adi Bhargava Harvey Mudd College, Josh Cordova Harvey Mudd College, Lucas Bang Harvey Mudd College
14:12 5m Short-paper		Revisiting Deep Learning for Variable Type Recovery Replications and Negative Results (RENE) Kevin Cao Vanderbilt University, Kevin Leach Vanderbilt University Pre-print
14:17 9m Talk		Programming language implementations for context-oriented self-adaptive systems Journal First Nicolás Cardozo Universidad de los Andes, Kim Mens Université catholique de Louvain, ICTEAM institute, Belgium Link to publication DOI Media Attached
14:26 9m Full-paper		Improving Code Search with Multi-Modal Momentum Contrastive Learning Research Zejian Shi Fudan University, Yun Xiong Fudan University, Yao Zhang Fudan University, Zhijie Jiang National University of Defense Technology, Jinjing Zhao National Key Laboratory of Science and Technology on Information System Security, Lei Wang National University of Defense Technology, Shanshan Li National University of Defense Technology Pre-print
14:35 9m Full-paper		Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries Replications and Negative Results (RENE) Jason Kim Georgia Tech, Daniel Genkin Georgia Tech, Kevin Leach Vanderbilt University Pre-print
14:44 31m Panel		Discussion 7 Discussion