BULNER: BUg Localization with word embeddings and NEtwork Regularization
ICMC-Universidade de São Paulo (USP)（圣保罗大学计算与数学科学中心（ICMC））；DC-Universidade Federal de São Carlos (UFSCar)（圣卡洛斯联邦大学计算系（DC））；Universidade Federal de Mato Grosso do Sul (UFMS)（南马托格罗索联邦大学）；Ericsson AB / Blekinge Institute of Technology（爱立信公司/布莱金厄理工学院）；INF-Universidade Federal de Goiás (UFG)（戈亚斯联邦大学信息系（INF））；Tribunal de Justiça do Estado de Goiás（戈亚斯州法院）
英文摘要：
Bug localization (BL) from the bug report is the strategic activity of the software maintaining process. Because BL is a costly and tedious activity, BL techniques information retrieval-based and machine learning-based could aid software engineers. We propose a method for BUg Localization with word embeddings and Network Regularization (BULNER). The preliminary results suggest that BULNER has better performance than two state-of-the-art methods.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
