SANER 2024 (series) / Research Papers /
BUMP: A Benchmark of Reproducible Breaking Dependency Updates
Wed 13 MarDisplayed time zone: Athens change
Wed 13 Mar
Displayed time zone: Athens change
14:00 - 15:30 | API and Dependency AnalysisResearch Papers / Reproducibility Studies and Negative Results (RENE) Track at LAPPI Chair(s): Martin Monperrus KTH Royal Institute of Technology | ||
14:00 15mTalk | The Limits of the Identifiable: Challenges in Python Version Identification with Deep Learning Reproducibility Studies and Negative Results (RENE) Track Marcus Gerhold University of Twente, The Netherlands, Lola Solovyeva University of Twente, Vadim Zaytsev University of Twente, Netherlands Pre-print | ||
14:15 15mTalk | Exploring Dependencies Among Inconsistencies to Enhance the Consistency Maintenance of Models Research Papers Luciano Marchezan Johannes Kepler Universität Linz, Wesley Assunção North Carolina State University, Edvin Herac , Saad Shafiq University of Southern California, Alexander Egyed Johannes Kepler University Linz | ||
14:30 15mTalk | BUMP: A Benchmark of Reproducible Breaking Dependency Updates Research Papers Frank Reyes Garcia KTH Royal Institute of Technology, Yogya Gamage KTH Royal Institute of Technology, Gabriel Skoglund KTH Royal Institute of Technology, Benoit Baudry KTH, Martin Monperrus KTH Royal Institute of Technology | ||
14:45 15mTalk | APIGen: Generative API Method Recommendation Research Papers Yujia Chen Harbin Institute of Technology, Shenzhen, Cuiyun Gao Harbin Institute of Technology, Muyijie Zhu Harbin Institute of Technology, Shenzhen, Qing Liao Harbin Institute of Technology, Yong Wang Anhui Polytechnic University, Guoai Xu Harbin Institute of Technology, Shenzhen | ||
15:00 15mTalk | A Multi-Metric Ranking with Label Correlations Approach for Library Migration Recommendations Research Papers Jiancheng Zhang SouthWest Petroleum University, Peng Wu Sichuan Tourism University, Qin Luo Southwest Petroleum University | ||
15:15 15mTalk | Adaptoring: Adapter Generation to Provide an Alternative API for a Library Research Papers Pre-print | ||