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ICSE 2020
Wed 24 June - Thu 16 July 2020
Tue 7 Jul 2020 08:17 - 08:29 at Baekje - I4-Clones and Changes Chair(s): Chanchal K. Roy

Existing work on software patches often use features specific to a single task. These works often rely on manually identified features, and human effort is required to identify these features for each task. In this work, we propose CC2Vec, a neural network model that learns the representation of code changes guided by their accompanying log messages, which represent the semantic intent of the code changes. CC2Vec models the hierarchical structure of a code change with the help of the attention mechanism and uses multiple comparison functions to represent the differences between the removed and added code. To evaluate if CC2Vec can produce a distributed representation of code changes that is general and useful for multiple tasks on software patches, we use the vectors produced by CC2Vec for three tasks: log message generation, bug fixing patch identification, and just-in-time defect prediction. In all tasks, the models using CC2Vec outperform the state-of-the-art techniques.

Tue 7 Jul

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08:05 - 09:05
I4-Clones and ChangesTechnical Papers / Journal First / New Ideas and Emerging Results / Demonstrations at Baekje
Chair(s): Chanchal K. Roy University of Saskatchewan
HARP: Holistic Analysis for Refactoring Python-Based Analytics ProgramsTechnical
Technical Papers
Weijie Zhou North Carolina State University, Yue Zhao NCSU, Guoqiang Zhang North Carolina State University, Xipeng Shen North Carolina State University
CC2Vec: Distributed Representations of Code ChangesTechnical
Technical Papers
Thong Hoang Singapore Management University, Singapore, Hong Jin Kang School of Information Systems, Singapore Management University, Julia Lawall Inria, David Lo Singapore Management University
Code Duplication on Stack OverflowNIER
New Ideas and Emerging Results
Sebastian Baltes QAware GmbH and The University of Adelaide, Christoph Treude The University of Adelaide
Pre-print Media Attached
Siamese: Scalable and Incremental Code Clone Search via Multiple Code RepresentationsJ1
Journal First
Chaiyong Ragkhitwetsagul Mahidol University, Thailand, Jens Krinke University College London
Link to publication DOI Pre-print Media Attached
Empirical comparison of text-based mobile apps similarity measurement techniquesJ1
Journal First
Afnan Al-Subaihin King Saud University, Federica Sarro University College London, UK, Sue Black Durham University, Licia Capra University College London
Link to publication DOI Media Attached File Attached
SimilarAPI: Mining Analogical APIs for Library MigrationDemo
Chunyang Chen Monash University