HECS: A Hypergraph Learning-based System for Detecting Extract Class Refactoring Opportunities
HECS is an advanced tool designed for Extract Class refactoring by leveraging hypergraph learning to model complex dependencies within large classes. Unlike traditional tools that rely on direct one-to-one dependency graphs, HECS uses intra-class dependency hypergraphs to capture one-to-many relationships. This allows HECS to provide more accurate and relevant refactoring suggestions. The tool constructs hypergraphs for each target class, attributes nodes using a pre-trained code model, and trains an enhanced hypergraph neural network. Coupled with a large language model, HECS delivers practical refactoring suggestions. In evaluations on large-scale and real-world datasets, HECS achieved a 38.5% increase in precision, 9.7% in recall, and 44.4% in f1-measure compared to JDeodorant, SSECS, and LLMRefactor. These improvements make HECS a valuable tool for developers, offering practical insights and enhancing existing refactoring techniques.
Wed 18 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
15:30 - 17:00 | |||
15:30 12mTalk | SMBugFinder: An Automated Framework for Testing Protocol Implementations for State Machine Bugs Tool Demonstrations Paul Fiterau-Brostean Uppsala University, Konstantinos (Kostis) Sagonas Uppsala University and Nat. Tech. Univ. of Athens, Fredrik Tåquist Uppsala University, Bengt Jonsson Uppsala University, Sweden DOI Media Attached | ||
15:42 12mTalk | FRAFOL: FRAmework FOr Learning mutation testing Tool Demonstrations Pedro Tavares Faculty of Engineering, University of Porto, Ana Paiva INESC TEC, Faculty of Engineering, University of Porto, Domenico Amalfitano University of Naples Federico II, René Just University of Washington | ||
15:55 12mTalk | FixCheck: A Tool for Improving Patch Correctness Analysis Tool Demonstrations Facundo Molina IMDEA Software Institute, Juan Manuel Copia IMDEA Software Institute; Universidad Politécnica de Madrid, Alessandra Gorla IMDEA Software Institute | ||
16:08 12mTalk | HECS: A Hypergraph Learning-based System for Detecting Extract Class Refactoring Opportunities Tool Demonstrations Luqiao Wang Xidian University, Qiangqiang Wang Xidian University, Jiaqi Wang Xidian University, Yutong Zhao University of Central Missouri, Minjie Wei Xidian University, Zhou Quan Xidian University, Di Cui Xidian University, Qingshan Li Xidian University | ||
16:21 12mTalk | DMMPP: Constructing Dummy Main Methods for Android Apps with Path-sensitive Predicates Tool Demonstrations Baoquan Cui Institute of Software at Chinese Academy of Sciences, China, Jiwei Yan Institute of Software at Chinese Academy of Sciences, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
16:34 12mTalk | FunRedisp: A Function Redispatch Tool to Reduce Invocation Gas Fees in Solidity Smart Contracts Tool Demonstrations Yunqi Liu Nanjing University of Science and Technology, Wei Song Nanjing University of Science and Technology Media Attached | ||
16:47 12mTalk | The Flexcrash Platform for Testing Autonomous Vehicles in Mixed-Traffic Scenarios Tool Demonstrations Alessio Gambi Austrian Institute of Technology (AIT), Shreya Mathews IMC University of Applied Sciences Krems, Benedikt Steininger IMC University of Applied Sciences Krems, Mykhailo Poienko IMC University of Applied Sciences Krems, David Bobek IMC University of Applied Sciences Krems |