SANER 2024
Tue 12 - Fri 15 March 2024 Rovaniemi , Finland
Thu 14 Mar 2024 11:44 - 11:59 at KUU - Software Analysis and Recommendation Systems Chair(s): Roberta Capuano

Code review is an essential component of software development, playing a vital role in ensuring a comprehensive check of code changes. However, the continuous influx of pull requests and the limited pool of available reviewer candidates pose a significant challenge to the review process, making the task of assigning suitable reviewers to each review request increasingly difficult. To tackle this issue, we present MIRRec, a novel code reviewer recommendation method that leverages a hypergraph with multiplex relationships. MIRRec encodes high-order correlations that go beyond traditional pairwise connections using degree-free hyperedges among pull requests and developers. This way, it can capture high-order implicit connectivity and identify potential reviewers. To validate the effectiveness of MIRRec, we conducted experiments using a dataset comprising 48,374 pull requests from ten popular open-source software projects hosted on GitHub. The experiment results demonstrate that MIRRec, especially without PR-Review Commenters relationship, outperforms existing stateof-the-art code reviewer recommendation methods in terms of ACC and MRR, highlighting its significance in improving the code review process.

Thu 14 Mar

Displayed time zone: Athens change

11:00 - 12:30
11:00
15m
Talk
Alternating between Surrogate Model Construction and Search for Configurations of an Autonomous Delivery System
Industrial Track
Chin-Hsuan Sun National Taiwan University, Thomas Laurent Lero@Trinity College Dublin, Paolo Arcaini National Institute of Informatics , Fuyuki Ishikawa National Institute of Informatics
11:15
7m
Talk
LogLead - Fast and Integrated Log Loader, Enhancer, and Anomaly Detector
Tools Demo Track
Mika Mäntylä University of Helsinki and University of Oulu, Yuqing Wang University of Oulu, Jesse Nyyssölä University of Helsinki
Pre-print Media Attached
11:22
7m
Talk
Debloating Feature-Rich Closed-Source Software
Short Papers and Posters Track
Zhen Huang DePaul University
11:29
15m
Talk
SHREC: a SRE Behaviour Knowledge Graph Model for Shell Command Recommendations
Industrial Track
Andrea Tonon Huawei Ireland Research Center, Bora Caglayan Huawei Ireland Research Center, Hu Peng Huawei Nanjing Research Center, Mingxue Wang Huawei Ireland Research Center, Fei Shen Huawei Nanjing Research Center, Puchao Zhang Huawei Ireland Research Center
11:44
15m
Talk
Code Reviewer Recommendation Based on a Hypergraph with Multiplex Relationships
Research Papers
Yu Qiao School of Computer Science, Wuhan University, Jian Wang Nanyang Technological University, Can Cheng School of Artificial Intelligence, Hubei University, Wei Tang School of Computer Science, Wuhan University, Peng Liang Wuhan University, China, Yuqi Zhao School of Computer Science, Wuhan University., Bing Li Wuhan University
Link to publication Pre-print Media Attached
11:59
7m
Talk
Web API Change-Proneness Prediction
Short Papers and Posters Track
Rediana Koçi Universitat Politècnica de Catalunya, Xavier Franch Universitat Politècnica de Catalunya, Petar Jovanovic Universitat Politècnica De Catalunya - Barcelona Tech, Alberto Abello Universitat Politècnica de Catalunya
12:06
15m
Talk
Assessing the Security of GitHub Copilot’s Generated Code - A Targeted Replication Study
Reproducibility Studies and Negative Results (RENE) Track
Vahid Majdinasab Polytechnique Montréal, Michael Joshua Bishop Massey University, Shawn Rasheed Universal College of Learning, Arghavan Moradi Dakhel Polytechnique Montreal, Amjed Tahir Massey University, Foutse Khomh Polytechnique Montréal
12:21
7m
Talk
Osmy: A Tool for Periodic Software Vulnerability Assessment and File Integrity Verification using SPDX Documents
Tools Demo Track
Rio Kishimoto Osaka University, Tetsuya Kanda Osaka University, Yuki Manabe The University of Fukuchiyama, Katsuro Inoue Nanzan University, Yoshiki Higo Osaka University
12:28
7m
Talk
Navigating Expertise in Configurable Software Systems through the Maze of Variability
Early Research Achievement (ERA) Track
Karolina Milano Federal Institute of Mato Grosso do Sul, Bruno Cafeo University of Campinas (UNICAMP)
Pre-print Media Attached