ICSE 2024
Fri 12 - Sun 21 April 2024 Lisbon, Portugal
Wed 17 Apr 2024 16:00 - 17:30 at Open Space - SRC Posters Chair(s): Mattia Fazzini, André Restivo

Pre-trained language models of code, which are built upon largescale datasets, millions of trainable parameters, and high computational resources cost, have achieved phenomenal success. Recently, researchers have proposed a compressor-based classifier (Cbc); it trains no parameters but is found to outperform BERT. We conduct the first empirical study to explore whether this lightweight alternative can accurately classify source code. Our study is more than applying Cbc to code-related tasks. We first identify an issue that the original implementation overestimates Cbc. After correction, Cbc’s performance on defect prediction drops from 80.7% to 63.0%, which is still comparable to CodeBERT (63.7%). We find that hyperparameter settings affect the performance. Besides, results show that Cbc can outperform CodeBERT when the training data is small, making it a good alternative in low-resource settings.

Wed 17 Apr

Displayed time zone: Lisbon change

16:00 - 17:30
SRC PostersSRC - ACM Student Research Competition at Open Space
Chair(s): Mattia Fazzini University of Minnesota, André Restivo LIACC, Universidade do Porto, Porto, Portugal
16:00
90m
Poster
Program Decomposition and Translation with Static Analysis
SRC - ACM Student Research Competition
Ali Reza Ibrahimzada University of Illinois Urbana-Champaign
DOI Pre-print File Attached
16:00
90m
Poster
IntTracer: Sanitization-aware IO2BO Vulnerability Detection across Codebases
SRC - ACM Student Research Competition
Xiang Chen Shanghai Jiao Tong University
16:00
90m
Poster
Vulnerability Root Cause Function Locating For Java Vulnerabilities
SRC - ACM Student Research Competition
Lyuye Zhang Nanyang Technological University
16:00
90m
Poster
Flakiness Repair in the Era of Large Language Models
SRC - ACM Student Research Competition
Yang Chen University of Illinois at Urbana-Champaign
16:00
90m
Poster
Refining Abstract Specifications into Dangerous Traffic Scenarios
SRC - ACM Student Research Competition
Aren Babikian McGill University
16:00
90m
Poster
An Ensemble Method for Bug Triaging using Large Language Models
SRC - ACM Student Research Competition
Atish Kumar Dipongkor University of Central Florida
16:00
90m
Poster
Classifying Source Code: How Far Can Compressor-based Classifiers Go?
SRC - ACM Student Research Competition
Zhou Yang Singapore Management University
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